「機械学習」に関するおすすめのピックアップ動画の一覧です。 https://ml.streamdb.net/pickup-rss/c/%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92 Tue, 27 Sep 22 01:00:28 +0900 https://ml.streamdb.net/timelines/v/i_LwzRVP7bg Tue, 27 Sep 22 01:00:28 +0900 Machine Learning for Everybody – Full Course Learn Machine Learning in a way that is accessible to absolute beginners. You will learn the basics of Machine Learning and how to use TensorFlow to implement many different concepts. ✏️ Kylie Ying developed this course. Check out her channel: https://www.youtube.com/c/YCubed ⭐️ Code and Resources ⭐️ 🔗 Supervised learning (classification/MAGIC): https://colab.research.google.com/drive/16w3TDn_tAku17mum98EWTmjaLHAJcsk0?usp=sharing 🔗 Supervised learning (regression/bikes): https://colab.research.google.com/drive/1m3oQ9b0oYOT-DXEy0JCdgWPLGllHMb4V?usp=sharing 🔗 Unsupervised learning (seeds): https://colab.research.google.com/drive/1zw_6ZnFPCCh6mWDAd_VBMZB4VkC3ys2q?usp=sharing 🔗 Dataets (add a note that for the bikes dataset, they may have to open the downloaded csv file and remove special characters) 🔗 MAGIC dataset: https://archive.ics.uci.edu/ml/datasets/MAGIC+Gamma+Telescope 🔗 Bikes dataset: https://archive.ics.uci.edu/ml/datasets/Seoul+Bike+Sharing+Demand 🔗 Seeds/wheat dataset: https://archive.ics.uci.edu/ml/datasets/seeds 🏗 Google provided a grant to make this course possible. ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:00:58) Data/Colab Intro ⌨️ (0:08:45) Intro to Machine Learning ⌨️ (0:12:26) Features ⌨️ (0:17:23) Classification/Regression ⌨️ (0:19:57) Training Model ⌨️ (0:30:57) Preparing Data ⌨️ (0:44:43) K-Nearest Neighbors ⌨️ (0:52:42) KNN Implementation ⌨️ (1:08:43) Naive Bayes ⌨️ (1:17:30) Naive Bayes Implementation ⌨️ (1:19:22) Logistic Regression ⌨️ (1:27:56) Log Regression Implementation ⌨️ (1:29:13) Support Vector Machine ⌨️ (1:37:54) SVM Implementation ⌨️ (1:39:44) Neural Networks ⌨️ (1:47:57) Tensorflow ⌨️ (1:49:50) Classification NN using Tensorflow ⌨️ (2:10:12) Linear Regression ⌨️ (2:34:54) Lin Regression Implementation ⌨️ (2:57:44) Lin Regression using a Neuron ⌨️ (3:00:15) Regression NN using Tensorflow ⌨️ (3:13:13) K-Means Clustering ⌨️ (3:23:46) Principal Component Analysis ⌨️ (3:33:54) K-Means and PCA Implementations 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news https://ml.streamdb.net/timelines/v/dPWYUELwIdM Wed, 17 Apr 19 00:58:13 +0900 How Deep Neural Networks Work - Full Course for Beginners Even if you are completely new to neural networks, this course will get you comfortable with the concepts and math behind them. Neural networks are at the core of what we are calling Artificial Intelligence today. They can seem impenetrable, even mystical, if you are trying to understand them for the first time, but they don't have to. ⭐️ Contents ⭐️ ⌨️ (0:00:00) How neural networks work ⌨️ (0:24:13) What neural networks can learn and how they learn it ⌨️ (0:51:37) How convolutional neural networks (CNNs) work ⌨️ (1:16:55) How recurrent neural networks (RNNs) and long-short-term memory (LSTM) work ⌨️ (1:42:49) Deep learning demystified ⌨️ (2:03:33) Getting closer to human intelligence through robotics ⌨️ (2:49:18) How CNNs work, in depth 🎥 Lectures by Brandon Rohrer. Check out his YouTube channel: https://www.youtube.com/user/BrandonRohrer 🔗 Find more courses from Brandon at https://end-to-end-machine-learning.teachable.com/ -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org And subscribe for new videos on technology: https://youtube.com/subscription_center?add_user=freecodecamp #machine learning #deep learning #neural networks #artificial intelligence #logistic regression #probability #math #computer science #statistics #deep learning course #deep learning tutorial #neural networks for beginners #deep neural network #convolutional neural networks #recurrent neural networks #long-short-term memory #ai #machine learning #deep learning #neural networks #artificial intelligence #logistic regression #probability #math #computer science #statistics #deep learning course #deep learning tutorial #neural networks for beginners #deep neural network #convolutional neural networks #recurrent neural networks #long-short-term memory #ai https://ml.streamdb.net/timelines/v/vDDjtwQDw2k Mon, 17 Apr 23 23:40:20 +0900 No Black Box Machine Learning Course – Learn Without Libraries In this No Black Box Machine Learning Course in JavaScript, you will gain a deep understanding of machine learning systems by coding without relying on libraries. This unique approach not only demystifies the inner workings of machine learning but also significantly enhances software development skills. ✏️ Course created by @Radu (PhD in Computer Science) 🎥 Watch part two: https://youtu.be/3wwiOSxDAmg HOMEWORK 🏠 1st assignment spreadsheet: https://docs.google.com/spreadsheets/d/16wIddJ9jKAAvJOXPcF0gNRx39AOE9A2-mQeK6UR2qnY/edit?usp=sharing 🏠 Submit all other assignments to Radu's Discord Server: https://discord.com/invite/gJFcF5XVn9 GITHUB LINKS 💻 Drawing App: https://github.com/gniziemazity/drawing-app 💻 Data: https://github.com/gniziemazity/drawing-data 💻 Custom Chart Component: https://github.com/gniziemazity/javascript_chart 💻 Full Course Code (In Parts): https://github.com/gniziemazity/ml-course PREREQUISITES 🎥 Interpolation: https://youtu.be/J_puRs40GhM 🎥 Linear Algebra: https://youtu.be/nzyOCd9FcCA 🎥 Trigonometry: https://youtu.be/xK3vKWMFVgw LINKS 🔗 Check out the Recognizer we'll build in this course: https://radufromfinland.com/projects/ml/recognizer 🔗 Draw for Radu, Call for help video: https://youtu.be/Yw2QZ1vq2ek 🔗 Draw for Radu, Data collection tool: https://radufromfinland.com/projects/ml 🔗 Radu's Self-driving Car Course: https://www.youtube.com/playlist?list=PLB0Tybl0UNfYoJE7ZwsBQoDIG4YN9ptyY 🔗 Radu's older Machine Learning video: https://youtu.be/QXB1ytG95gs 🔗 CHART TUTORIAL (mentioned at 01:45:27): https://youtu.be/n8uCt1TSGKE 🔗 CHART CODE: https://github.com/gniziemazity/javascript_chart TOOLS 🔧 Visual Studio Code: https://code.visualstudio.com/download 🔧 Google Chrome: https://www.google.com/chrome 🔧 Node JS: https://nodejs.org/en/download (make sure you add 'node' and 'npm' to the PATH environment variables when asked!) TIMESTAMPS ⌨️(0:00:00) Introduction ⌨️(0:05:04) Drawing App ⌨️(0:46:46) Homework 1 ⌨️(0:47:05) Working with Data ⌨️(1:08:54) Data Visualizer ⌨️(1:29:52) Homework 2 ⌨️(1:30:05) Feature Extraction ⌨️(1:38:07) Scatter Plot ⌨️(1:46:12) Custom Chart ⌨️(2:01:03) Homework 3 ⌨️(2:01:35) Nearest Neighbor Classifier ⌨️(2:43:21) Homework 4 (better box) ⌨️(2:43:53) Data Scaling ⌨️(2:54:45) Homework 5 ⌨️(2:55:23) K Nearest Neighbors Classifier ⌨️(3:04:18) Homework 6 ⌨️(3:04:49) Model Evaluation ⌨️(3:21:29) Homework 7 ⌨️(3:22:01) Decision Boundaries ⌨️(3:39:26) Homework 8 ⌨️(3:39:59) Python & SkLearn ⌨️(3:50:35) Homework 9 https://ml.streamdb.net/timelines/v/BAregq0sdyY Wed, 31 Jan 24 01:12:54 +0900 Deep Learning Interview Prep Course Prepare for a job interview about deep learning. This course covers 50 common interview questions related to deep learning and gives detailed explanations. ✏️ Course created by Tatev Karen Aslanyan. ✏️ Expanded course with 100 questions: https://courses.lunartech.ai/courses/deep-learning-interview-preparation-course-100-q-a-s ⭐️ Contents ⭐️ ⌨️ 0:00:00 Introduction ⌨️ 0:08:20 Question 1: What is Deep Learning? ⌨️ 0:11:45 Question 2: How does Deep Learning differ from traditional Machine Learning? ⌨️ 0:15:25 Question 3: What is a Neural Network? ⌨️ 0:21:40 Question 4: Explain the concept of a neuron in Deep Learning ⌨️ 0:24:35 Question 5: Explain architecture of Neural Networks in simple way ⌨️ 0:31:45 Question 6: What is an activation function in a Neural Network? ⌨️ 0:35:00 Question 7: Name few popular activation functions and describe them ⌨️ 0:47:40 Question 8: What happens if you do not use any activation functions in a neural network? ⌨️ 0:48:20 Question 9: Describe how training of basic Neural Networks works ⌨️ 0:53:45 Question 10: What is Gradient Descent? ⌨️ 1:03:50 Question 11: What is the function of an optimizer in Deep Learning? ⌨️ 1:09:25 Question 12: What is backpropagation, and why is it important in Deep Learning? ⌨️ 1:17:25 Question 13: How is backpropagation different from gradient descent? ⌨️ 1:19:55 Question 14: Describe what Vanishing Gradient Problem is and it’s impact on NN ⌨️ 1:25:55 Question 15: Describe what Exploding Gradients Problem is and it’s impact on NN ⌨️ 1:33:55 Question 16: There is a neuron in the hidden layer that always results in an error. What could be the reason? ⌨️ 1:37:50 Question 17: What do you understand by a computational graph? ⌨️ 1:43:28 Question 18: What is Loss Function and what are various Loss functions used in Deep Learning? ⌨️ 1:47:15 Question 19: What is Cross Entropy loss function and how is it called in industry? ⌨️ 1:50:18 Question 20: Why is Cross-entropy preferred as the cost function for multi-class classification problems? ⌨️ 1:53:10 Question 21: What is SGD and why it’s used in training Neural Networks? ⌨️ 1:58:24 Question 22: Why does stochastic gradient descent oscillate towards local minima? ⌨️ 2:03:38 Question 23: How is GD different from SGD? ⌨️ 2:08:19 Question 24: How can optimization methods like gradient descent be improved? What is the role of the momentum term? ⌨️ 2:14:22 Question 25: Compare batch gradient descent, minibatch gradient descent, and stochastic gradient descent. ⌨️ 2:19:12 Question 26: How to decide batch size in deep learning (considering both too small and too large sizes)? ⌨️ 2:26:01 Question 27: Batch Size vs Model Performance: How does the batch size impact the performance of a deep learning model? ⌨️ 2:29:33 Question 28: What is Hessian, and how can it be used for faster training? What are its disadvantages? ⌨️ 2:34:12 Question 29: What is RMSProp and how does it work? ⌨️ 2:38:43 Question 30: Discuss the concept of an adaptive learning rate. Describe adaptive learning methods ⌨️ 2:43:34 Question 31: What is Adam and why is it used most of the time in NNs? ⌨️ 2:49:59 Question 32: What is AdamW and why it’s preferred over Adam? ⌨️ 2:54:50 Question 33: What is Batch Normalization and why it’s used in NN? ⌨️ 3:03:19 Question 34: What is Layer Normalization, and why it’s used in NN? ⌨️ 3:06:20 Question 35: What are Residual Connections and their function in NN? ⌨️ 3:15:05 Question 36: What is Gradient clipping and their impact on NN? ⌨️ 3:18:09 Question 37: What is Xavier Initialization and why it’s used in NN? ⌨️ 3:22:13 Question 38: What are different ways to solve Vanishing gradients? ⌨️ 3:25:25 Question 39: What are ways to solve Exploding Gradients? ⌨️ 3:26:42 Question 40: What happens if the Neural Network is suffering from Overfitting relate to large weights? ⌨️ 3:29:18 Question 41: What is Dropout and how does it work? ⌨️ 3:33:59 Question 42: How does Dropout prevent overfitting in NN? ⌨️ 3:35:06 Question 43: Is Dropout like Random Forest? ⌨️ 3:39:21 Question 44: What is the impact of Drop Out on the training vs testing? ⌨️ 3:41:20 Question 45: What are L2/L1 Regularizations and how do they prevent overfitting in NN? ⌨️ 3:44:39 Question 46: What is the difference between L1 and L2 regularisations in NN? ⌨️ 3:48:43 Question 47: How do L1 vs L2 Regularization impact the Weights in a NN? ⌨️ 3:51:56 Question 48: What is the curse of dimensionality in ML or AI? ⌨️ 3:53:04 Question 49: How deep learning models tackle the curse of dimensionality? ⌨️ 3:56:47 Question 50: What are Generative Models, give examples? https://ml.streamdb.net/timelines/v/tLuhqBfcixs Fri, 08 Apr 22 15:12:22 +0900 Data Science Internship Program | Why Become a Data Scientist | Edureka 🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py 🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐅𝐫𝐞𝐞 𝐃𝐞𝐦𝐨 𝐒𝐞𝐬𝐬𝐢𝐨𝐧: https://www.edureka.co/internship/data-science-and-machine-learning-program In this video on Data Science Internship Program, we take you through some facts which will help you understand why Data Science is the job of the century, and Why you should Become a Data Scientist. 📝Feel free to leave any queries or comments in the comment section below, we will be happy to answer📝 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 🔵 DevOps Online Training: https://bit.ly/38Fx6Cx 🌕 AWS Online Training: https://bit.ly/3DZkXDR 🔵 Azure DevOps Online Training: https://bit.ly/37s448u 🌕 Tableau Online Training: https://bit.ly/37oHjCy 🔵 Power BI Online Training: https://bit.ly/3rbpI8e 🌕 Selenium Online Training: https://bit.ly/38uou1b 🔵 PMP Online Training: https://bit.ly/3LJywtI 🌕 Salesforce Online Training: https://bit.ly/3LQzEvS 🔵 Cybersecurity Online Training: https://bit.ly/3uZkDRz 🌕 Java Online Training: https://bit.ly/3LRDN2i 🔵 Big Data Online Training: https://bit.ly/3JfoleQ 🌕 RPA Online Training: https://bit.ly/35QtmwH 🔵 Python Online Training: https://bit.ly/3DS1dC4 🌕 Azure Online Training: https://bit.ly/3v0cKLD 🔵 GCP Online Training: https://bit.ly/3jiQLKw 🌕 Microservices Online Training: https://bit.ly/37n4GMN 🔵 Data Science Online Training: https://bit.ly/3Jsy9T2 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: https://bit.ly/3NUTAPS 🌕 Cloud Architect Masters Program: https://bit.ly/3DUVvzy 🔵 Data Scientist Masters Program: https://bit.ly/3v6RTq9 🌕 Big Data Architect Masters Program: https://bit.ly/3uiEJXO 🔵 Machine Learning Engineer Masters Program: https://bit.ly/3Km3Iz9 🌕 Business Intelligence Masters Program: https://bit.ly/35RQ7R3 🔵 Python Developer Masters Program: https://bit.ly/3rxAPIX 🌕 RPA Developer Masters Program: https://bit.ly/3LNiHSJ 🔵 Web Development Masters Program: https://bit.ly/3ukSpBy 🌕 Computer Science Bootcamp Program : https://bit.ly/38FA9KZ 🔵 Cyber Security Masters Program: https://bit.ly/3NVqYGh 🌕 Full Stack Developer Masters Program : https://bit.ly/3LTxV93 🔵 Automation Testing Engineer Masters Program : https://bit.ly/3rxAPIX 🌕 Python Developer Masters Program : https://bit.ly/3ucD3yX 🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3LTxZ8N 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3LP7h0Z 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ What are the prerequisites to enroll in this course? No pre-requisites are required to enroll in this Data Science & Machine Learning program. You will be taught Python programming from the very basics, then Machine learning, then Deep Learning and Tableau. All you need is to have basic computer skills, dedication and proactiveness to learn. Can I master Data Science and Machine Learning in such a short duration? Yes, the internship programs by Edureka are specially designed to make experts in the most trending fields and technologies in a short period of time. The content for this course is created by Technology Specialists, Data Science & Machine Learning Experts and Engineering Managers from top tech companies. Based on their years of experience and domain knowledge, they have chosen the most important concepts in an easily understandable format in this single course. These key concepts are fundamental to becoming a top Data Scientist and cracking interviews in top tech companies. This program will follow a similar training structure as followed by top tech companies and will also cover important details from their interviews. #data science internship #why become a data scientist #data science #edureka #data science internship #why become a data scientist #data science #edureka https://ml.streamdb.net/timelines/v/sSkAuTqfBA8 Thu, 02 Feb 23 14:00:00 +0900 PySpark Full Course [2024] | Learn PySpark | PySpark Tutorial | Edureka 🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐒𝐩𝐚𝐫𝐤 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/pyspark-certification-training This Edureka PySpark Full Course video will help you understand and learn PySpark in detail. This Spark tutorial is ideal for both beginners as well as professionals who want to master PySpark concepts. 🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: http://bit.ly/3VkBRUT 🌕 AWS Online Training: http://bit.ly/3ADYwDY 🔵 React Online Training: http://bit.ly/3Vc4yDw 🌕 Tableau Online Training: http://bit.ly/3guTe6J 🔵 Power BI Online Training: http://bit.ly/3VntjMY 🌕 Selenium Online Training: http://bit.ly/3EVDtis 🔵 PMP Online Training: http://bit.ly/3XugO44 🌕 Salesforce Online Training: http://bit.ly/3OsAXDH 🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t 🌕 Java Online Training: http://bit.ly/3tRxghg 🔵 Big Data Online Training: http://bit.ly/3EvUqP5 🌕 RPA Online Training: http://bit.ly/3GFHKYB 🔵 Python Online Training: http://bit.ly/3Oubt8M 🌕 Azure Online Training: http://bit.ly/3i4P85F 🔵 GCP Online Training: http://bit.ly/3VkCzS3 🌕 Microservices Online Training: http://bit.ly/3gxYqqv 🔵 Data Science Online Training: http://bit.ly/3V3nLrc 🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj 🔵 Angular Online Training: http://bit.ly/3EYcCTe 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP 🔵 Web Development Masters Program: http://bit.ly/3U9R5va 🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy 🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR 🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S 🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J 🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv 🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 🌕 Artificial and Machine Learning PGD with E&ICT Academy NIT Warangal: http://bit.ly/3OuZ3xs 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information. #yt:cc=on #pyspark full course #pyspark full course 2023 #complete pyspark course #Pyspark tutorial for beginners #pyspark tutorial #pyspark online training #Pyspark training #pyspark tutorial jupyter notebook #Introduction to PySpark for Beginners #spark with python #data analytics using pyspark #apache spark with python #pyspark dataframes #pyspark rdd #introduction to pyspark #pyspark api #what is pyspark #pyspark edureka #apache spark edureka #edureka #yt:cc=on #pyspark full course #pyspark full course 2023 #complete pyspark course #Pyspark tutorial for beginners #pyspark tutorial #pyspark online training #Pyspark training #pyspark tutorial jupyter notebook #Introduction to PySpark for Beginners #spark with python #data analytics using pyspark #apache spark with python #pyspark dataframes #pyspark rdd #introduction to pyspark #pyspark api #what is pyspark #pyspark edureka #apache spark edureka #edureka https://ml.streamdb.net/timelines/v/VgzHT9quo5c Tue, 02 Apr 24 22:25:52 +0900 Understanding AI from Scratch – Neural Networks Course Understanding AI from Scratch – Neuaral Networks Without Libraries Course Learn the fundamentals of Neural Networks by building one from scratch without libraries. You'll manually tweak network parameters to teach a car how to drive within a specially crafted playground. Dr. Radu teaches computer science at a university in Finland, and has over a decade of experience with machine learning and AI, and he emphasizes the importance of revisiting basics in an era of easy-to-use complex models. You will have homework assignments which you can discuss with Dr. Radu on his Discord: discord.gg/gJFcF5XVn9 ✏️ Course developed by @Radu 🏆 Win prizes by following along: https://youtu.be/EhJ7qD5HwpY 🚗 THE PLAYGROUND: https://radufromfinland.com/projects/aiCarPlayground/?s=default 🚙 HELP COLLECT DATA BY RACING: https://radufromfinland.com/projects/aiRacer ⭐ OTHER LINKS ⭐ Phase 1 – Self-Driving Car with JavaScript: https://youtu.be/Rs_rAxEsAvI Phase 2 – Virtual World Filled with Self-Driving Cars: https://youtu.be/5iHejdqYIa8 Vanilla JavaScript Chart Tutorial: https://youtu.be/n8uCt1TSGKE Machine Learning JavaScript Course: https://youtu.be/vDDjtwQDw2k 3b1b's Neural Network Video: https://youtu.be/aircAruvnKk?si=JB6fvUT3Ko1mkU3x Another Playground: https://playground.tensorflow.org Desmos 3D: https://www.desmos.com/3d Another Playground: https://playground.tensorflow.org Top-view Cars Clip: https://youtu.be/jZrjE_ixu18 💻 CODE 💻 1. Phase 1 https://github.com/gniziemazity/self-driving-car 2. Phase 2 https://github.com/gniziemazity/virtual-world 3. Phase 3 https://github.com/gniziemazity/understanding_ai 💻 Use "11. MiniMap" from Phase 2 at 02:36:49 💻 Use "1. Starting Codebase" from Phase 3 in Lesson 6 (if you didn't code anything yet) ☕ Buy Radu a Coffee: https://www.buymeacoffee.com/radum ⚡️Join Radu's Channel: https://youtube.com/@radu/join ⭐ Contents ⭐ ⌨️ (0:00:00) Introduction ⌨️ (0:07:12) The Playground ⌨️ (0:14:34) One Neuron ⌨️ (0:29:07) Clarrifications ⌨️ (0:31:58) Lesson 2 ⌨️ (0:32:16) Genetic Algorithm ⌨️ (0:43:04) 2 Inputs ⌨️ (1:02:42) Hidden Layers ⌨️ (1:13:03) Misconceptions ⌨️ (1:14:18) Lesson 3 (More Outputs) ⌨️ (1:55:59) Lesson 4 (Traffic Rules) ⌨️ (2:24:10) Lesson 5 (Compass Sensor) ⌨️ (2:35:20) The need for Shortest Path ⌨️ (2:37:10) Updating the Self-driving Car codebase ⌨️ (2:57:39) Lesson 6 (Dijkstra's Algorithm) ⌨️ (3:24:03) Lesson 7 (Dijkstra with AI Agents) ⌨️ (3:43:13) Final Challenge https://ml.streamdb.net/timelines/v/9Y3yaoi9rUQ Thu, 26 Oct 23 21:36:51 +0900 Algorithmic Trading – Machine Learning & Quant Strategies Course with Python In this comprehensive course on algorithmic trading, you will learn about three cutting-edge trading strategies to enhance your financial toolkit. In the first module, you'll explore the Unsupervised Learning Trading Strategy, utilizing S&P 500 stocks data to master features, indicators, and portfolio optimization. Next, you'll leverage the power of social media with the Twitter Sentiment Investing Strategy, ranking NASDAQ stocks based on engagement and evaluating performance against the QQQ return. Lastly, the Intraday Strategy will introduce you to the GARCH model, combining it with technical indicators to capture both daily and intraday signals for potential lucrative positions. ✏️ Course developed by @lachone_ 💻 Code and course resources: https://github.com/Luchkata/Algorithmic_Trading_Machine_Learning/tree/main 🔗 You can sign up for the data API used here: https://intelligence.financialmodelingprep.com/pricing-plans?couponCode=lachezaryt&utm_source=youtube&utm_medium=youtube&utm_campaign=lachezarfcc 🔗 Learn more about Lachezar and Quantitative Trading with Python here: https://www.quantfactory.ai/p/become-a-quant-trader1 ⭐️ Contents ⭐️ 0:00:00 - Algorithmic Trading & Machine Learning Fundamentals 0:15:25 - Building An Unsupervised Learning Trading Strategy 2:05:08 - Building A Twitter Sentiment Investing Strategy 2:28:08 - Building An Intraday Strategy Using GARCH Model 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news https://ml.streamdb.net/timelines/v/_ZvnD73m40o Tue, 05 Sep 23 23:36:07 +0900 Prompt Engineering Tutorial – Master ChatGPT and LLM Responses Learn prompt engineering techniques to get better results from ChatGPT and other LLMs. ✏️ Course developed by @AniaKubow ⭐️ Contents ⭐️ ⌨️ (00:00) Introduction ⌨️ (01:31) What is Prompt Engineering? ⌨️ (02:17) Introduction to AI ⌨️ (03:52) Why is Machine learning useful? ⌨️ (06:36) Linguistics ⌨️ (08:04) Language Models ⌨️ (14:35) Prompt Engineering Mindset ⌨️ (15:38) Using GPT-4 ⌨️ (20:41) Best practices ⌨️ (31:20) Zero shot and few shot prompts ⌨️ (35:06) AI hallucinations ⌨️ (36:43) Vectors/text embeddings ⌨️ (40:28) Recap 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama English This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu. Spanish Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración. Portuguese Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações. Hindi इस वीडियो को ज़्यादा लोगों तक पहुंचाने के लिए, इसे https://aloud.area120.google.com के ज़रिए एक आर्टिफ़िशियल वॉइस का इस्तेमाल करके डब किया गया है. सेटिंग्स मेनू में जाकर ऑडियो ट्रैक की भाषा बदली जा सकती है. (Hindi dubbed via Melt Labs - https://www.withmelt.com/) -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news https://ml.streamdb.net/timelines/v/5NgNicANyqM Thu, 10 Aug 23 23:17:52 +0900 Harvard CS50’s Artificial Intelligence with Python – Full University Course This course from Harvard University explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. This course has been updated for 2023 to include an in-depth section on large language models. ✏️ Course developed by Brian Yu for Harvard University. Learn more about Brian: https://brianyu.me/ 🔗 Course resources: https://cs50.harvard.edu/ai/2020/ ⭐️ Course Contents ⭐️ ⌨️ (00:00:00) Introuction ⌨️ (00:02:26) Search ⌨️ (01:51:55) Knowledge ⌨️ (03:39:39) Uncertainty ⌨️ (05:34:08) Optimization ⌨️ (07:18:52) Learning ⌨️ (09:04:41) Neural Networks ⌨️ (10:46:00) Language 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news https://ml.streamdb.net/timelines/v/NpmFbWO6HPU Tue, 23 Jan 24 23:15:11 +0900 9 HOURS of Python Projects - From Beginner to Advanced This video contains over 9 hours of python project tutorials designed to help you master python and learn through projects! There are over 21 unique python project walkthroughs in this content that range from beginner to advanced. See below for the timestamps for these projects: ➡️ Check out my software development course! https://techwithtim.net/dev 📖 General Resources 📖 Download VSCode: https://code.visualstudio.com/ Fix Pip (Windows): https://www.youtube.com/watch?v=AdUZArA-kZw&t=0s Fix Pip (Mac): https://www.youtube.com/watch?v=E-WhAS6qzsU&t=4s 🕥 Timestamps 🕥 00:00:00 | How To Navigate These Projects --- 00:01:46 | #1 - Quiz Game (Easy) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/quiz_game.py --- 00:22:00 | #2 - Number Guessing Game (Easy) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/number_guesser.py --- 00:39:49 | #3 - Rock, Paper, Scissors (Easy) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/rock_paper_scissors.py --- 00:54:40 | #4 - Choose Your Own Adventure Game (Easy) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/blob/main/choose_your_own_adventure.py --- 01:06:47 | #5 - Password Manager (Medium) Code: https://github.com/techwithtim/5-Python-Projects-For-Beginners/ Fernet Cryptography Documentation: https://cryptography.io/en/latest/fernet/ --- 01:37:37 | #6 - PIG (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects/blob/main/project1.py --- 01:59:07 | #7 - Madlibs Generator (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects/blob/main/project2.py --- 02:15:04 | #8 - Timed Math Challenge (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects/blob/main/project3.py --- 02:28:02 | #9 - Slot Machine (Medium) Code: https://github.com/techwithtim/Python-Slot-Machine --- 03:20:43 | #10 - Turtle Racing (Medium) Code: https://github.com/techwithtim/Turtle-Racing-V2 Turtle Docs: https://docs.python.org/3/library/turtle.html --- 04:13:09 | #11 - WPM Typing Test (Medium) Code: https://github.com/techwithtim/WPM_Typing_Test Curses Docs: https://docs.python.org/3/howto/curses.html 05:09:43 | #12 - Alarm Clock (Easy) Python Project Idea Blog: https://hackr.io/blog/python-projects Sound Effects: https://www.fesliyanstudios.com/royalty-free-sound-effects-download/alarm-203 --- 05:22:07 | #13 - Password Generator (Easy) Python Project Idea Blog: https://hackr.io/blog/python-projects --- 05:39:16 | #14 - Shortest Path Finder (Advanced) Code: https://github.com/techwithtim/3-Mini-Python-Projects-For-Intermediates/blob/main/path-finder.py --- 06:14:53 | #15 - NBA Stats & Current Scores (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects-For-Intermediates/blob/main/nba-scores.py --- 06:38:22 | #16 - Currency Converter (Medium) Code: https://github.com/techwithtim/3-Mini-Python-Projects-For-Intermediates/blob/main/currency-converter.py API: https://free.currencyconverterapi.com/ --- 06:58:51 | #17 - YouTube Video Downloader (Medium) Code: https://github.com/techwithtim/Python-Beginner-Automation-Projects/blob/main/youtube.py --- 07:09:50 | #18 - Automated File Backup (Medium) Code: https://github.com/techwithtim/Python-Beginner-Automation-Projects/blob/main/backup.py --- 07:21:18 | #19 - Mastermind/4 Color Match (Advanced) --- 07:48:20 | #20 - Aim Trainer (Advanced) Code: https://github.com/techwithtim/Python-Aim-Trainer --- 08:39:20 | #21 - Advanced Python Scripting (Advanced) Code: https://github.com/techwithtim/Python-Scripting-Project #python projects #learn python #python project tutorial #python tutorial #python tech with tim #tech with tim python #python mini projects #projects python #how to learn python #python project based learning #21 python projects #python masterclass #python practice #learning python #how to learn python fast #python tutorials #python coding #python programming #python #software development #coding projects #programming projects #python projects #learn python #python project tutorial #python tutorial #python tech with tim #tech with tim python #python mini projects #projects python #how to learn python #python project based learning #21 python projects #python masterclass #python practice #learning python #how to learn python fast #python tutorials #python coding #python programming #python #software development #coding projects #programming projects https://ml.streamdb.net/timelines/v/3wwiOSxDAmg Tue, 29 Aug 23 22:37:43 +0900 Machine Learning & Neural Networks without Libraries – No Black Box Course Welcome to this No Black Box Machine Learning Course in JavaScript. It’s a course where we code without using libraries because it’s the best way to learn all inner workings of a machine learning system and you’ll greatly improve your software development skills as well. The goal in this course is to build a web app that learns to recognize drawings. This is phase 2, where we increase the accuracy of the method we developed in Phase 1. We do this by implementing more sophisticated features and using other classification methods (like the Neural Network). In Phase 2 we also learn about Data Cleaning, Confusion Matrices, Geometry and the difference between Vector and Raster data (pixels). 🎥 No Black Box Phase 1 Course: https://youtu.be/vDDjtwQDw2k ✏️ Course created by @Radu (PhD in Computer Science) 📁 Data: https://github.com/gniziemazity/drawing-data 💻 Code: https://github.com/gniziemazity/ml-course-phase-2 💻 Ilya's code: https://gist.github.com/id-ilych/8630fb273e5c5a0b64ca1dc080d68b63 💻 Neural Network Code: https://github.com/gniziemazity/neural-network Phase 3 Poll: https://forms.office.com/e/QTMCLLaV24 ⭐️ Other Resources ⭐️ Recognizer we build in this course: https://radufromfinland.com/projects/ml/recognizer Euclidean Distance Video: https://youtu.be/3rPwfmrCwVw Interpolation Video: https://youtu.be/J_puRs40GhM Draw the Portal Game Tutorial (Inspired from Dr. Strange): https://youtu.be/0SxiyLk2IMM Why the Circle has the Largest Area: https://youtu.be/CFBa2ezTQJQ Recognizing drawings via webcam: https://youtu.be/QXB1ytG95gs Self-driving Car Course: https://youtu.be/Rs_rAxEsAvI Discord Server: https://discord.com/invite/gJFcF5XVn9 Scikit-learn documentation: http://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html ⭐️ Contents ⭐️ 0:00:00 Introduction 0:04:07 Phase 1 Code Review 0:23:11 Data Cleaning 0:41:30 Confusion Matrix 1:16:00 Euclidean Distance Marker 1:16:06 Measuring the Elongation 1:39:23 Measuring the Roundness 1:59:20 Vector vs Raster (Pixels) 2:22:40 Neural Networks 3:04:49 Optimizing Neural Networks 3:25:15 Deep Neural Networks 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news https://ml.streamdb.net/timelines/v/YERmJEjEyo8 Sat, 15 May 21 23:09:27 +0900 Welcome to Edureka YouTube Channel | One Stop Solution for Learning Trending Technologies #edureka 🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 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Learn from anywhere in the world, wherever you are in your life’s journey. Take courses in Machine Learning, Robotics, Deep Language, Natural Language, Computer Vision, and more! #artificialintelligence #aicourses #learnai #A.I. #Artificial Intelligence #Artificial Intelligence Courses #online masters in ai and machine learning #artificial intelligence course #artificial intelligence programs #masters in artificial intelligence #masters in machine learning #artificial intelligence degree #learn ai programming #artificial intelligence masters programs #online masters in artificial intelligence #A.I. #Artificial Intelligence #Artificial Intelligence Courses #online masters in ai and machine learning #artificial intelligence course #artificial intelligence programs #masters in artificial intelligence #masters in machine learning #artificial intelligence degree #learn ai programming #artificial intelligence masters programs #online masters in artificial intelligence https://ml.streamdb.net/timelines/v/th4OBktqK1I Sat, 24 Sep 22 22:00:27 +0900 Learn Python With This ONE Project! In this video I'm going to teach you Python by working through a project from scratch! A completely new project to me! Hopefully this will make you a lot more confident and help you learn Python. Follow along and comment down below how it worked for you! Get started with OctoML and Download the CLI for free at: https://try.octoml.ai/Tim 💻 ProgrammingExpert is the best platform to learn how to code and become a software engineer as fast as possible! Check it out here: https://programmingexpert.io/tim and use code "tim" for a discount! Completed Code: https://github.com/techwithtim/Python-Slot-Machine ⭐️ Timestamps ⭐️ 00:00 | Learn Python With One Project 00:54 | OctoML 02:10 | Building The Project 53:45 | Outro ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ 👕 Merchandise: https://teespring.com/stores/tech-with-tim-merch-shop 📸 Instagram: https://www.instagram.com/tech_with_tim 📱 Twitter: https://twitter.com/TechWithTimm ⭐ Discord: https://discord.gg/twt 📝 LinkedIn: https://www.linkedin.com/in/tim-ruscica-82631b179/ 🌎 Website: https://techwithtim.net 📂 GitHub: https://github.com/techwithtim 🔊 Podcast: https://anchor.fm/tech-with-tim 🎬 My YouTube Gear: https://www.techwithtim.net/gear/ 💵 One-Time Donations: https://www.paypal.com/donate?hosted_button_id=CU9FV329ADNT8 💰 Patreon: https://www.patreon.com/techwithtim ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ ⭐️ Hashtags ⭐️ #techwithtim #python #learnpython #octoml #tech with tim #python #learn python #learn python with 1 project #python how to #how to do python project #pulumi #pulumi promo code #octoml #free coupon code #octoml coupon code #python porject #python project tech with tim #tech with tim python #python project for beginners #beginner python project #learn python through projects #python tutorial 2022 #python tutorial project #tech with tim #python #learn python #learn python with 1 project #python how to #how to do python project #pulumi #pulumi promo code #octoml #free coupon code #octoml coupon code #python porject #python project tech with tim #tech with tim python #python project for beginners #beginner python project #learn python through projects #python tutorial 2022 #python tutorial project https://ml.streamdb.net/timelines/v/V_xro1bcAuA Thu, 06 Oct 22 23:13:05 +0900 PyTorch for Deep Learning & Machine Learning – Full Course Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python. ✏️ Daniel Bourke developed this course. Check out his channel: https://www.youtube.com/channel/UCr8O8l5cCX85Oem1d18EezQ 🔗 Code: https://github.com/mrdbourke/pytorch-deep-learning 🔗 Ask a question: https://github.com/mrdbourke/pytorch-deep-learning/discussions 🔗 Course materials online: https://learnpytorch.io 🔗 Full course on Zero to Mastery (20+ hours more video): https://dbourke.link/ZTMPyTorch Some sections below have been left out because of the YouTube limit for timestamps. 0:00:00 Introduction 🛠 Chapter 0 – PyTorch Fundamentals 0:01:45 0. Welcome and "what is deep learning?" 0:07:41 1. Why use machine/deep learning? 0:11:15 2. The number one rule of ML 0:16:55 3. Machine learning vs deep learning 0:23:02 4. Anatomy of neural networks 0:32:24 5. Different learning paradigms 0:36:56 6. What can deep learning be used for? 0:43:18 7. What is/why PyTorch? 0:53:33 8. What are tensors? 0:57:52 9. Outline 1:03:56 10. How to (and how not to) approach this course 1:09:05 11. Important resources 1:14:28 12. Getting setup 1:22:08 13. Introduction to tensors 1:35:35 14. Creating tensors 1:54:01 17. Tensor datatypes 2:03:26 18. Tensor attributes (information about tensors) 2:11:50 19. Manipulating tensors 2:17:50 20. Matrix multiplication 2:48:18 23. Finding the min, max, mean & sum 2:57:48 25. Reshaping, viewing and stacking 3:11:31 26. Squeezing, unsqueezing and permuting 3:23:28 27. Selecting data (indexing) 3:33:01 28. PyTorch and NumPy 3:42:10 29. Reproducibility 3:52:58 30. Accessing a GPU 4:04:49 31. Setting up device agnostic code 🗺 Chapter 1 – PyTorch Workflow 4:17:27 33. Introduction to PyTorch Workflow 4:20:14 34. Getting setup 4:27:30 35. Creating a dataset with linear regression 4:37:12 36. Creating training and test sets (the most important concept in ML) 4:53:18 38. Creating our first PyTorch model 5:13:41 40. Discussing important model building classes 5:20:09 41. Checking out the internals of our model 5:30:01 42. Making predictions with our model 5:41:15 43. Training a model with PyTorch (intuition building) 5:49:31 44. Setting up a loss function and optimizer 6:02:24 45. PyTorch training loop intuition 6:40:05 48. Running our training loop epoch by epoch 6:49:31 49. Writing testing loop code 7:15:53 51. Saving/loading a model 7:44:28 54. Putting everything together 🤨 Chapter 2 – Neural Network Classification 8:32:00 60. Introduction to machine learning classification 8:41:42 61. Classification input and outputs 8:50:50 62. Architecture of a classification neural network 9:09:41 64. Turing our data into tensors 9:25:58 66. Coding a neural network for classification data 9:43:55 68. Using torch.nn.Sequential 9:57:13 69. Loss, optimizer and evaluation functions for classification 10:12:05 70. From model logits to prediction probabilities to prediction labels 10:28:13 71. Train and test loops 10:57:55 73. Discussing options to improve a model 11:27:52 76. Creating a straight line dataset 11:46:02 78. Evaluating our model's predictions 11:51:26 79. The missing piece – non-linearity 12:42:32 84. Putting it all together with a multiclass problem 13:24:09 88. Troubleshooting a mutli-class model 😎 Chapter 3 – Computer Vision 14:00:48 92. Introduction to computer vision 14:12:36 93. Computer vision input and outputs 14:22:46 94. What is a convolutional neural network? 14:27:49 95. TorchVision 14:37:10 96. Getting a computer vision dataset 15:01:34 98. Mini-batches 15:08:52 99. Creating DataLoaders 15:52:01 103. Training and testing loops for batched data 16:26:27 105. Running experiments on the GPU 16:30:14 106. Creating a model with non-linear functions 16:42:23 108. Creating a train/test loop 17:13:32 112. Convolutional neural networks (overview) 17:21:57 113. Coding a CNN 17:41:46 114. Breaking down nn.Conv2d/nn.MaxPool2d 18:29:02 118. Training our first CNN 18:44:22 120. Making predictions on random test samples 18:56:01 121. Plotting our best model predictions 19:19:34 123. Evaluating model predictions with a confusion matrix 🗃 Chapter 4 – Custom Datasets 19:44:05 126. Introduction to custom datasets 19:59:54 128. Downloading a custom dataset of pizza, steak and sushi images 20:13:59 129. Becoming one with the data 20:39:11 132. Turning images into tensors 21:16:16 136. Creating image DataLoaders 21:25:20 137. Creating a custom dataset class (overview) 21:42:29 139. Writing a custom dataset class from scratch 22:21:50 142. Turning custom datasets into DataLoaders 22:28:50 143. Data augmentation 22:43:14 144. Building a baseline model 23:11:07 147. Getting a summary of our model with torchinfo 23:17:46 148. Creating training and testing loop functions 23:50:59 151. Plotting model 0 loss curves 24:00:02 152. Overfitting and underfitting 24:32:31 155. Plotting model 1 loss curves 24:35:53 156. Plotting all the loss curves 24:46:50 157. Predicting on custom data https://ml.streamdb.net/timelines/v/nkNHn0VqVBA Fri, 06 Jan 23 13:30:00 +0900 Digital Marketing Full Course - 10 Hours [2024] | Digital Marketing Tutorial for Beginners | Edureka 🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py This Edureka 'Digital Marketing Full Course' is a complete guide to learning Digital Marketing from scratch which covers in-depth knowledge about different concepts of Digital Marketing, Types of Marketing, SEO, and Career opportunities in Digital Marketing. This Digital Marketing tutorial is ideal for beginners and experienced professionals. Topics covered in this Digital Marketing Full Course video : 00:00:00 Introduction to Digital Marketing Full Course 00:01:11 Agenda of Digital Marketing Course 00:02:26 What is Digital Marketing? 00:03:29 Evolution of Digital Marketing 00:16:50 Top 10 Reasons to learn Digital Marketing 00:24:51 Importance of Digital Marketing 00:36:21 Why Learn Digital Marketing? 00:47:57 What is the structure of the marketing plan 00:57:01 How to make an effective Marketing plan 01:03:52 Types of Digital Marketing 01:40:40 How to Become a Digital Marketer 01:52:15 Types of SEO 02:04:07 How does Search Engine Work 02:11:18 Tactics & Method 02:18:15 How to Optimize Keywords 02:28:00 SEO Tools 02:41:26 Different SEO Techniques 02:48:44 Backlinks 02:52:9 What are the on-page Ranking Factors 02:59:08 Digital Marketing Best Practices 03:09:07 Yoast SEO 03:15:24 Yoast SEO Setup 03:24:21 Yoast SEO Metabox 03:42:22 Paid Marketing With Google Ads Tool 04:06:43 Types of Search Queries 04:11:04 Introduction to Google ADS 04:20:27 Google ADS Account Structure 04:44:08 Google AD Sense 04:46:56 Types of Ads 05:15:10 Managing Google Ads 05:45:35 Content Marketing 06:21:42 Pillers of Social Media Marketing 06:25:30 Social Marketing Tools 07:01:17 Email Marketing 07:21:30 Integrated Digital Marketing 07:40:07 Example: Microsoft Integrated Marketing Communication Approach 07:54:43 Data-Driven Marketing 08:09:35 How to Become a Digital Marketing Influencer? 08:59:37 How to Become a Digital Marketer? 09:15:37 Digital Marketing Interview Question & Answers 🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: http://bit.ly/3VkBRUT 🌕 AWS Online Training: http://bit.ly/3ADYwDY 🔵 React Online Training: http://bit.ly/3Vc4yDw 🌕 Tableau Online Training: http://bit.ly/3guTe6J 🔵 Power BI Online Training: http://bit.ly/3VntjMY 🌕 Selenium Online Training: http://bit.ly/3EVDtis 🔵 PMP Online Training: http://bit.ly/3XugO44 🌕 Salesforce Online Training: http://bit.ly/3OsAXDH 🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t 🌕 Java Online Training: http://bit.ly/3tRxghg 🔵 Big Data Online Training: http://bit.ly/3EvUqP5 🌕 RPA Online Training: http://bit.ly/3GFHKYB 🔵 Python Online Training: http://bit.ly/3Oubt8M 🌕 Azure Online Training: http://bit.ly/3i4P85F 🔵 GCP Online Training: http://bit.ly/3VkCzS3 🌕 Microservices Online Training: http://bit.ly/3gxYqqv 🔵 Data Science Online Training: http://bit.ly/3V3nLrc 🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj 🔵 Angular Online Training: http://bit.ly/3EYcCTe 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP 🔵 Web Development Masters Program: http://bit.ly/3U9R5va 🌕 Computer Science Bootcamp Program: http://bit.ly/3UZxPBy 🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR 🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S 🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J 🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv 🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information. #yt:cc=on #digital marketing #digital marketing full course #digital marketing course #digital marketing courses #full course digital marketing #digital marketing complete course #digital marketing tutorial for beginners #digital marketing course 2023 #digital marketing for beginners #digital marketing tutorial #digital marketing training #digital marketing career #learn digital marketing #free digital marketing course #what is digital marketing #Edureka digital marketing #yt:cc=on #digital marketing #digital marketing full course #digital marketing course #digital marketing courses #full course digital marketing #digital marketing complete course #digital marketing tutorial for beginners #digital marketing course 2023 #digital marketing for beginners #digital marketing tutorial #digital marketing training #digital marketing career #learn digital marketing #free digital marketing course #what is digital marketing #Edureka digital marketing https://ml.streamdb.net/timelines/v/ROjZy1WbCIA Wed, 23 Feb 22 22:43:25 +0900 Linux Operating System - Crash Course for Beginners Learn the basics of the Linux Operating System in this crash course for beginners. Linux is a clone of the UNIX operating system, so understanding one is understanding the other. The goal is for you to get a full understanding of how the Linux OS works. If you're still using Windows or Mac OS, you can still learn Linux using a virtual machine. ✏️ Course from KeepItTechie. Check out his YouTube channel: https://www.youtube.com/channel/UCP2bshADPrVMoNrdJvZEQzw ⭐️ Course Contents ⭐ ⌨️ (0:00:00) Intro ⌨️ (0:08:09) Install Linux ⌨️ (0:29:43) Desktop Environment ⌨️ (0:41:18) Terminal ⌨️ (0:49:25) Working with Directories ⌨️ (1:15:49) Working with Files ⌨️ (1:34:49) Working with File Content ⌨️ (1:51:14) Linux File Structure ⌨️ (2:03:68) System Information ⌨️ (2:15:42) Networking ⌨️ (2:20:10) Linux Package Manager ⌨️ (2:34:10) Text Editor ⌨️ (2:46:56) Outro 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news https://ml.streamdb.net/timelines/v/-CRj_pHXo38 Wed, 29 Nov 23 23:00:00 +0900 Top 10 Certifications For 2024 | Highest Paying Certifications | Best IT Certifications | Edureka 🔥 𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟒 🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py This Edureka video on "𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟒" video will introduce you to all the popular and trending IT certifications in the market which you should focus on in 2024 to get high paying job. These are the highest-paying certifications that you must bag in order to have a successful career in the year 2024. Let us know your list of Best IT Certifications For 2024 in the comment section below. Below is the list of 𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟒 that you must get certified in to boost your career and paycheque: 00:00 Introduction to Top 10 Certifications For 2024 00:49 Cybersecurity Certifications 01:55 Cloud & DevOps Certifications 03:27 Project Management Certifications 04:21 Data Science Certifications 05:38 Scrum and Agile Certifications 06:28 Data Engineer Certifications 07:21 Business Intelligence Certifications 08:26 Automation and Testing Certifications 09:24 Full Stack Web Development Certifications 10:22 Digital Marketing Certifications 🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 📝Let us know your list of Top 10 Certifications For 2024 in the comment section.📝 #edureka #Top10Certifications #top10CertificationsFor2024 #Top10Certifications2024 #trendingCertifications2024 #trendingCertifications #bestCertifications #popularCertifications 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Certification: https://edrk.in/C8jql2W 🌕 AWS Online Certification: https://edrk.in/u1EXq70 🔵 React Online Certification: https://edrk.in/SFVA3Pg 🌕 Tableau Online Certification: https://edrk.in/kTgCxOZ 🔵 Power BI Online Certification: https://edrk.in/mNAyw6S 🌕 Selenium Online Certification: https://edrk.in/Lt7ELSY 🔵 PMP Online Certification: https://edrk.in/baWg6pe 🌕 Salesforce Online Certification: https://edrk.in/EqlnJYd 🔵 Cybersecurity Online Certification: https://edrk.in/QrW0Ec8 🌕 Java Online Certification: https://edrk.in/O6P3V2g 🔵 Python Online Certification: https://edrk.in/tAr97T9 🌕 Azure Online Certification: https://edrk.in/tUubG-i 🔵 GCP Online Certification: https://edrk.in/QijOq0q 🌕 Microservices Online Certification: https://edrk.in/JNoMEo8 🔵 Data Science Online Certification: https://edrk.in/OdW3B2v 🌕 CEHv12 Online Certification: https://edrk.in/p3ngxuB 🔵 Angular Online Certification: https://edrk.in/jcORlgU 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: https://edrk.in/Bzch7fj 🌕 Cloud Architect Masters Program: https://edrk.in/f1LDG1p 🔵 Data Scientist Masters Program: https://edrk.in/XHZs55E 🌕 Full Stack Developer Masters Program: https://edrk.in/U5U8EnM 🔵 Machine Learning Engineer Masters Program: https://edrk.in/AKxU5jU 🌕 Business Intelligence Masters Program: https://edrk.in/CrIfrAX 🔵 Python Developer Masters Program: https://edrk.in/evj6Jlh 🌕 RPA Developer Masters Program: https://edrk.in/tppjtMK 🔵 Cyber Security Masters Program: https://edrk.in/9HU8Udw 🌕 Computer Science Bootcamp Program: https://edrk.in/eKxZGZ6 🔵 Automation Testing Engineer Masters Program: https://edrk.in/p9ue76O 🌕 Azure Cloud Engineer Masters Program: https://edrk.in/0t-uD8y 🔵 Web Development Masters Program: https://edrk.in/p_3JFjZ 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 🔵 Post Graduate Program in DevOps with Purdue University: https://edrk.in/NTeuQTN 🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: https://edrk.in/8lf8eI0 🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://edrk.in/i4X5Ons 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information. #yt:cc=on #top 10 certifications for 2024 #highest paying certifications #best it certifications #best it certifications 2024 #top 5 certifications for 2024 #top 5 certifications #top 10 certificate for 2024 #best it certification 2024 #top 10 certification #top 10 certifications #top 10 certifications in the world #it certification #popular certifications #best certifications #trending certifications #certifications for 2024 #best online certifications #edureka #yt:cc=on #top 10 certifications for 2024 #highest paying certifications #best it certifications #best it certifications 2024 #top 5 certifications for 2024 #top 5 certifications #top 10 certificate for 2024 #best it certification 2024 #top 10 certification #top 10 certifications #top 10 certifications in the world #it certification #popular certifications #best certifications #trending certifications #certifications for 2024 #best online certifications #edureka https://ml.streamdb.net/timelines/v/lpa8uy4DyMo Wed, 21 Dec 22 13:30:00 +0900 Cyber Security Full course - 11 Hours | Cyber Security Training For Beginners | Edureka 🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐲𝐛𝐞𝐫 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/cybersecurity-certification-training This Edureka video on "Cyber Security Full Course" will help you understand and learn the fundamentals of Cyber Security. This Cyber Security Tutorial is ideal for both beginners as well as professionals who want to master the Cyber Security concepts. Below are the topics covered in this Cyber Security Training For Beginners: 00:00:00 Introduction 00:05:35 Requirement of Cyber Security 00:23:44 History of Cybersecurity 00:34:57 Types of hackers 00:42:57 Skills Necessary 00:51:45 What is Penetration testing? 01:01:22 What is Footprinting? 01:13:40 Handson 01:33:23 History of the internet 01:42:11 OSI and TCP/IP Model 01:50:59 What is Wireshark? 01:58:59 What is DHCP? 02:08:36 Cryptography 02:11:00 History of Cryptography 02:19:00 Digital Encryption Standard 02:54:13 Bitlocker 03:07:50 What is IDS 03:15:50 What is pishing 03:20:38 Password Attacks 03:23:50 Packet Flooding 03:27:02 What is a Drive-by-download 03:33:26 BluVector 03:46:15 Cybersecurity Frameworks 04:03:51 Cybersecurity is an evergreen industry 04:19:52 Why Become an cyber security engineer 04:23:52 Who is a cybersecurity engineer ? 04:26:17 Roles and responsibilities of cyber security 04:59:05 How to choose the right cybersecurity certification? 05:05:29 Keylogger 05:07:53 SQL Vulnerability assessment 05:35:54 Top Cyber attacks in history 05:40:42 Cybersecurity challenges 05:46:18 Types of hacking 06:08:43 What is kali Linux? 06:14:19 Hands-on in Kali Linux 06:39:56 What is a proxy chain? 06:55:08 What is a Mac Address? 07:26:21 Cryptography 08:23:59 What is cross-site scripting? 08:26:23 types of cross-site scripting 08:36:00 How to use cross-site scripting 08:52:48 How to prevent cross-site scripting? 09:13:37 What is SQL Injection? 09:32:49 What is steganography? 10:00:50 Steganography tools 10:13:39 Ethical hacking and roles in ethical hacking 10:18:27 Ethical hacking tools 10:21:39 Cybersecurity interview questions 🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py 📝Feel free to share your comments below.📝 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔥Edureka CEH v12 Certification: https://bit.ly/3M2A1X9 🔥Edureka CISSP Certification: https://bit.ly/3nDq8Wc 🔥Edureka CompTIA Security+ Certification: https://bit.ly/3nxeVRl 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S 🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J 🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv 🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🔵 Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3rDFjkr 🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ ------------- About Edureka Cyber Security Training Edureka’s Cybersecurity Certification Course will help you in learning about the basic concepts of Cybersecurity along with the methodologies that must be practiced ensuring information security of an organization. Starting from the Ground level Security Essentials, this course will lead you through Cryptography. Why Learn Cyber Security? Cybersecurity is the gathering of advances that procedures and practices expected to ensure systems, PCs, projects and information from assault, harm or unapproved get to. In a processing setting, security incorporates both cybersecurity and physical security. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). #yt:cc=on #cybersecurity full course #cyber security training for beginners #cybersecurity #cyber security #cyber security full course #cybersecurity and ethical hacking course #cybersecurity and ethical hacking #cybersecurity crash course #cybersecurity for beginners #cyber security full course for beginners #cyber security course #what is cyber security #cyber security tutorial #learn cyber security #ethical hacking #cybersecurity roadmap #cybersecurity edureka #Edureka #yt:cc=on #cybersecurity full course #cyber security training for beginners #cybersecurity #cyber security #cyber security full course #cybersecurity and ethical hacking course #cybersecurity and ethical hacking #cybersecurity crash course #cybersecurity for beginners #cyber security full course for beginners #cyber security course #what is cyber security #cyber security tutorial #learn cyber security #ethical hacking #cybersecurity roadmap #cybersecurity edureka #Edureka https://ml.streamdb.net/timelines/v/5abffC-K40c Fri, 15 Dec 23 00:13:40 +0900 Microsoft Azure Fundamentals Certification Course (AZ-900) UPDATED – Pass the exam in 8 hours! Learn about Microsoft Azure and pass the Azure Fundamentals exam! The Azure Fundamentals exam (AZ-900) is an opportunity to prove knowledge of cloud concepts, core Azure services, Azure pricing, SLA, and lifecycle, and the fundamentals of cloud security, privacy, compliance, and trust. You will learn about all these things in this course. ✏️ Course developed by Andrew Brown of ExamPro. Check out the ExamPro YouTube channel: https://www.youtube.com/channel/UC2EsmbKnDNE7y1N3nZYCuGw 🔗 ExamPro Certification Training: https://www.exampro.co 🐦 Twitter: https://twitter.com/andrewbrown 📷 Instagram: https://www.instagram.com/exampro.co/ ⭐️ Course Contents ⭐️ ☁️ (00:01:05) Introduction Why should I get the AZ-900? Exam Guide Walkthrough ☁️ (00:24:24) Cloud Concepts What is Cloud Computing Common Cloud Services What is Microsoft and Azure Benefits of Cloud Computing Types of Cloud Computing Types of Cloud Computing Responsibilities Cloud Deployment Models Total Cost of Ownership CAPEX vs OPEX Cloud Architecture Terminologies High Availability High Scalability High Elasticity Fault Tolerance High Durability Business Continuity Plan Disaster Recovery Options ☁️ (00:57:44) Evolution of Compute Dedicated Servers Virtual Machines Containers Functions ☁️ (01:03:37) Global Infrastructure Regions and Geographies Paired Regions Region Types and Service Availability Special Regions Availability Zones AZ Supported Regions Availability Sets Fault and Update Domains ☁️ (01:19:26) Getting Started Follow Along Creating an Azure Account Registered Providers Create a User Account Enabling MFA ☁️ (01:44:28) Compute Services Computing Services Azure Virtual machines Operation Systems Azure Scale Sets Load Balancer Scaling Policy Health Montoring Azure Virtual Desktop Launching a Server ☁️ (02:06:57) Azure App Service Introduction to Azure App Service Runtimes Custom Containers Deployment Slots App Service Enviroment Azure App Service Plan Configure and Deploy App Service ☁️ (02:27:13) Azure Container Instances Introduction to ACI Container Restart Policies Container Environment Variables Container Persistent Storage Create an Azure Container Instances ☁️ (02:34:49) Virtual Networking Introduction to VNets VNet Peering Network Interfaces Subnets Introduction to Azure DNS Introduction to Virtual Network Gateways Azure Express Routes Private Links Create a VNet ☁️ (02:49:27) Storage Accounts Storage Services Introduction to Storage Accounts Storage Comparsion Core Storage Services Performance Tiers Access Tiers Replication Data Redundancy LRS ZRS GRS GZRS RAGRS_RA GZRS Introduction to Azure Blob Azure Blob Types AZCopy Azure Storage Explorer Introduction to Azure Files Azure Files Use Cases Azure File Sync Storing files in Blob Storage ☁️ (03:24:14) Migration Options Azure Cloud Adoption Framework Azure Migrate Azure Migrate Integrated tools Azure Databox ☁️ (03:33:10) Microsoft Entra ID Microsoft Entra ID Name Change Introduction to Entra ID Use Cases AD vs AAD Terminology AD DS Microsoft Entra Domain Services Single Sign On SSO External Identities Conditional Access ☁️ (03:49:46) Security Zero Trust Model Zero Trust Principles Defense In Depth Azure Defender MFA Azure Security Center Key Vault Azure DDoS Protection Azure Firewall Application Gateway Routing Rules Role Based Access Control RBAC Management Groups Service Health Azure Advisor ☁️ (04:16:09) Technology Overview Database Services Application Integration Developer and Mobile Tools Azure DevOps Services Cloud Native Networking Services Enterprise Hybrid Networking Services Azure Traffic Manager IoT Services Big Data and Analytics Services AI ML Services Introduction AI ML Services Serverless Services ☁️ (04:39:34) Follow Alongs Create a Resource Group Creating an Azure Function ☁️ (04:45:54) Billing And Pricing Service Level Agreements Service Credits Composite SLAs TCO Calculator Azure Marketplace Azure Hybrid Benefit Azure Subscriptions First Look at Subscriptions Pricing Calculator Azure Cost Management Resource Tags ☁️ (05:07:47) Governance and Compliance Microsoft Purview Information Protection Introduction Resource Locks Azure Blueprints ☁️ (05:15:31) Azure Management Tools Azure Portal Portal Preview and Features Cloud Shell Exploring Azure Cloud Shell PowerShell PowerShell Follow Along Azure CLI Azure CLI Follow Along Visual Studio Code Azure SDK Follow Along Introduction to ARM Use Cases ARM Scoping Introduction ARM Templates Follow Along Azure Bicep Follow Along Azure Terraform Follow Along Free Tier Spend and Usage ☁️ (08:12:11) Monitoring Tools Introduction to Azure Monitor The Pillars of Obervability Anatomy of Azure Monitor Log Analytics Log Analytics Workspaces Azure Alerts Application Insights https://ml.streamdb.net/timelines/v/-ETQ97mXXF0 Sun, 18 Aug 19 17:30:02 +0900 Data Science Full Course - Learn Data Science in 10 Hours | Data Science For Beginners | Edureka 🔥 Data Science Course (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/masters-program/data-scientist-certification This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms. Below are the topics covered in this Data Science for Beginners course: 00:00 Data Science Full Course Agenda 2:44 Introduction to Data Science 9:55 Data Analysis at Walmart 13:20 What is Data Science? 14:39 Who is a Data Scientist? 16:50 Data Science Skill Set 21:51 Data Science Job Roles 26:58 Data Life Cycle 30:25 Statistics & Probability 34:31 Categories of Data 34:50 Qualitative Data 36:09 Quantitative Data 39:11 What is Statistics? 41:32 Basic Terminologies in Statistics 42:50 Sampling Techniques 45:31 Random Sampling 46:20 Systematic Sampling 46:50 Stratified Sampling 47:54 Types of Statistics 50:38 Descriptive Statistics 55:52 Measures of Spread 55:56 Range 56:44 Inter Quartile Range 58:58 Variance 59:36 Standard Deviation 1:14:25 Confusion Matrix 1:19:16 Probability 1:24:14 What is Probability? 1:27:13 Types of Events 1:27:58 Probability Distribution 1:28:15 Probability Density Function 1:30:02 Normal Distribution 1:30:51 Standard Deviation & Curve 1:31:19 Central Limit Theorem 1:33:12 Types of Probability 1:33:34 Marginal Probability 1:34:06 Joint Probability 1:34:58 Conditional Probability 1:35:56 Use-Case 1:39:46 Bayes Theorem 1:45:44 Inferential Statistics 1:56:40 Hypothesis Testing 2:00:34 Basics of Machine Learning 2:01:41 Need for Machine Learning 2:07:03 What is Machine Learning? 2:09:21 Machine Learning Definitions 2:11:48 Machine Learning Process 2:18:31 Supervised Learning Algorithm 2:19:54 What is Regression? 2:21:23 Linear vs Logistic Regression 2:33:51 Linear Regression 2:25:27 Where is Linear Regression used? 2:27:11 Understanding Linear Regression 2:37:00 What is R-Square? 2:46:35 Logistic Regression 2:51:22 Logistic Regression Curve 2:53:02 Logistic Regression Equation 2:56:21 Logistic Regression Use-Cases 2:58:23 Demo 3:00:57 Implement Logistic Regression 3:02:33 Import Libraries 3:05:28 Analyzing Data 3:11:52 Data Wrangling 3:23:54 Train & Test Data 3:20:44 Implement Logistic Regression 3:31:04 SUV Data Analysis 3:38:44 Decision Trees 3:39:50 What is Classification? 3:42:27 Types of Classification 3:42:27 Decision Tree 3:43:51 Random Forest 3:45:06 Naive Bayes 3:47:12 KNN 3:49:02 What is Decision Tree? 3:55:15 Decision Tree Terminologies 3:56:51 CART Algorithm 3:58:50 Entropy 4:00:15 What is Entropy? 4:23:52 Random Forest 4:27:29 Types of Classifier 4:31:17 Why Random Forest? 4:39:14 What is Random Forest? 4:51:26 How Random Forest Works? 4:51:36 Random Forest Algorithm 5:04:23 K Nearest Neighbour 5:05:33 What is KNN Algorithm? 5:08:50 KNN Algorithm Working 5:24:30 What is Naive Bayes? 5:25:13 Bayes Theorem 5:27:48 Bayes Theorem Proof 5:29:43 Naive Bayes Working 5:39:06 Types of Naive Bayes 5:53:37 Support Vector Machine 5:57:40 What is SVM? 5:59:46 How does SVM work? 6:03:00 Introduction to Non-Linear SVM 6:04:48 SVM Example 6:06:12 Unsupervised Learning Algorithms - KMeans 6:06:18 What is Unsupervised Learning? 6:06:45 Unsupervised Learning: Process Flow 6:07:17 What is Clustering? 6:09:15 Types of Clustering 6:10:15 K-Means Clustering 6:10:40 K-Means Algorithm Working 6:16:17 K-Means Algorithm 6:19:16 Fuzzy C-Means Clustering 6:21:22 Hierarchical Clustering 6:22:53 Association Clustering 6:24:57 Association Rule Mining 6:30:35 Apriori Algorithm 6:37:45 Apriori Demo 6:40:49 What is Reinforcement Learning? 6:42:48 Reinforcement Learning Process 6:51:10 Markov Decision Process 6:54:53 Understanding Q - Learning 7:13:12 Q-Learning Demo 7:25:34 The Bellman Equation 7:48:39 What is Deep Learning? 7:52:53 Why we need Artificial Neuron? 7:54:33 Perceptron Learning Algorithm 7:57:57 Activation Function 8:03:14 Single Layer Perceptron 8:04:04 What is Tensorflow? 8:07:25 Demo 8:21:03 What is a Computational Graph? 8:49:18 Limitations of Single Layer Perceptron 8:50:08 Multi-Layer Perceptron 8:51:24 What is Backpropagation? 8:52:26 Backpropagation Learning Algorithm 8:59:31 Multi-layer Perceptron Demo 9:01:23 Data Science Interview Questions 🔴 Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Edureka Data Science Training & Certifications 🔵 Data Science Training using Python: http://bit.ly/2P2Qbl8 🔵 Python Programming Training: http://bit.ly/2OYsVoE 🔵 Python Masters Program: https://bit.ly/3e640cY 🔵 Machine Learning Course using Python: http://bit.ly/2SApG99 🔵 Data Scientist Masters Program: http://bit.ly/39HLiWJ 🔵 Machine Learning Engineer Masters Program: http://bit.ly/38Ch2MC For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll free). #yt:cc=on #data science #Data Science full course #data science course #data science for beginners #data science course for beginners #data science tutorial #data science training #introduction to data science #data science tutorial for beginners #data scientist #what is data science #Learn Data Science #who is a data scientist #data science with python #statistics for data science #edureka #data science edureka #python edureka #machine learning edureka #edureka data science #yt:cc=on #data science #Data Science full course #data science course #data science for beginners #data science course for beginners #data science tutorial #data science training #introduction to data science #data science tutorial for beginners #data scientist #what is data science #Learn Data Science #who is a data scientist #data science with python #statistics for data science #edureka #data science edureka #python edureka #machine learning edureka #edureka data science https://ml.streamdb.net/timelines/v/ELE2_Mftqoc Tue, 14 May 19 21:19:37 +0900 Reinforcement Learning Course - Full Machine Learning Tutorial Reinforcement learning is an area of machine learning that involves taking right action to maximize reward in a particular situation. In this full tutorial course, you will get a solid foundation in reinforcement learning core topics. The course covers Q learning, SARSA, double Q learning, deep Q learning, and policy gradient methods. These algorithms are employed in a number of environments from the open AI gym, including space invaders, breakout, and others. The deep learning portion uses Tensorflow and PyTorch. The course begins with more modern algorithms, such as deep q learning and policy gradient methods, and demonstrates the power of reinforcement learning. Then the course teaches some of the fundamental concepts that power all reinforcement learning algorithms. These are illustrated by coding up some algorithms that predate deep learning, but are still foundational to the cutting edge. These are studied in some of the more traditional environments from the OpenAI gym, like the cart pole problem. 💻Code: https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning ⭐️ Course Contents ⭐️ ⌨️ (00:00:00) Intro ⌨️ (00:01:30) Intro to Deep Q Learning ⌨️ (00:08:56) How to Code Deep Q Learning in Tensorflow ⌨️ (00:52:03) Deep Q Learning with Pytorch Part 1: The Q Network ⌨️ (01:06:21) Deep Q Learning with Pytorch part 2: Coding the Agent ⌨️ (01:28:54) Deep Q Learning with Pytorch part ⌨️ (01:46:39) Intro to Policy Gradients 3: Coding the main loop ⌨️ (01:55:01) How to Beat Lunar Lander with Policy Gradients ⌨️ (02:21:32) How to Beat Space Invaders with Policy Gradients ⌨️ (02:34:41) How to Create Your Own Reinforcement Learning Environment Part 1 ⌨️ (02:55:39) How to Create Your Own Reinforcement Learning Environment Part 2 ⌨️ (03:08:20) Fundamentals of Reinforcement Learning ⌨️ (03:17:09) Markov Decision Processes ⌨️ (03:23:02) The Explore Exploit Dilemma ⌨️ (03:29:19) Reinforcement Learning in the Open AI Gym: SARSA ⌨️ (03:39:56) Reinforcement Learning in the Open AI Gym: Double Q Learning ⌨️ (03:54:07) Conclusion Course from Machine Learning with Phil. Check out his YouTube channel: https://www.youtube.com/channel/UC58v9cLitc8VaCjrcKyAbrw -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org #reinforcement learning #machine learning #machine learning course #reinforcement learning course #deep q network #deep q-learning algorithm #deep learning game #deep q learning tutorial #q-learning #deep reinforcement learning #q learning #neural network #python #pytorch #python tutorial #deep learning #reinforcement learning python #artificial intelligence #reinforcement learning #machine learning #machine learning course #reinforcement learning course #deep q network #deep q-learning algorithm #deep learning game #deep q learning tutorial #q-learning #deep reinforcement learning #q learning #neural network #python #pytorch #python tutorial #deep learning #reinforcement learning python #artificial intelligence https://ml.streamdb.net/timelines/v/5p248yoa3oE Wed, 30 Aug 23 07:49:19 +0900 Andrew Ng: Opportunities in AI - 2023 This discussion took place on July 26, 2023, at Cemex Auditorium, Stanford University, and was hosted by the Stanford Graduate School of Business. This talk covers: Trends in AI Technologies and Tools Supervised Learning Generative AI The Adoption of AI Opportunities in AI Process for Building Startups AI Risks and Social Impact Explore the essentials of machine learning and develop practical skills to implement AI applications in this beginner-friendly program: https://www.coursera.org/specializations/machine-learning-introduction #Stanford #Stanford Online #Stanford #Stanford Online https://ml.streamdb.net/timelines/v/jGwO_UgTS7I Sat, 18 Apr 20 05:07:45 +0900 Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018) For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2Ze53pq Listen to the first lecture in Andrew Ng's machine learning course. This course provides a broad introduction to machine learning and statistical pattern recognition. Learn about both supervised and unsupervised learning as well as learning theory, reinforcement learning and control. Explore recent applications of machine learning and design and develop algorithms for machines. Andrew Ng is an Adjunct Professor of Computer Science at Stanford University. View more about Andrew on his website: https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-autumn2018.html 0:00 Introduction 05:21 Teaching team introductions 06:42 Goals for the course and the state of machine learning across research and industry 10:09 Prerequisites for the course 11:53 Homework, and a note about the Stanford honor code 16:57 Overview of the class project 25:57 Questions #AndrewNg #machinelearning #Andrew Ng #Computer Science #Stanford #Machine Learning #Graduate Course #Artificial Intelligence #AI #Stanford Online #ML #Andrew Ng #Computer Science #Stanford #Machine Learning #Graduate Course #Artificial Intelligence #AI #Stanford Online #ML https://ml.streamdb.net/timelines/v/wB4IquLz5Ro Thu, 15 Sep 22 23:30:10 +0900 CEH V12 Certification | How To Get CEH V12 Certification | CEH V12 Exam Details | Edureka 🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐇𝐚𝐜𝐤𝐞𝐫 𝐂𝐄𝐇 𝐕𝟏2 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/ceh-ethical-hacking-certification-course (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") This Edureka Session on "CEH v12(Certified Ethical Hacking)", covers all the basic aspects of Certified Ethical Hacking Certification. It establishes the concepts like CEH Exam basics, skills required, salaries and even trends to get you up to speed with certified ethical hacking. 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A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2 About the Course : What are the key features of this CEH Certification Course? Following are the key features of this CEH course: Includes CEH v11 Exam Voucher from EC-Council 6 months free access to CEHv11 iLabs Study material and pre-recorded sessions by EC-Council What will you learn as part of this CEH certification course? Certified Ethical Hacker CEH v11 will teach you the latest commercial-grade hacking tools, techniques, and methodologies used by hackers and information security professionals to lawfully hack an organization. Who is a Certified Ethical Hacker (CEH)? A Certified Ethical Hacker professional is a specialist typically working in a red team environment, focused on attacking computer systems and gaining access to networks, applications, databases, and other critical data on secured systems. A CEH recognizes attack strategies, the use of creative attack vectors, and mimics the skills and creativity of malicious hackers. #yt:cc=on #ceh v12 certification #how to get ceh v12 certification #ceh v12 exam details #ceh exam v12 #ceh v12 exam udpate #ceh v12 exam #certified ethical hacker v12 #certified ethical hacker exam update #ceh v12 #ceh v11 vs v12 certified ethical hacker exam #ceh exam #ceh certification exam #ceh v12 certified ethical hacking exam #certified ethical hacking #certified ethical hacker #ceh practical exam guide #ceh certification 2022 #ceh exam prepedureka #ceh edureka #edureka #yt:cc=on #ceh v12 certification #how to get ceh v12 certification #ceh v12 exam details #ceh exam v12 #ceh v12 exam udpate #ceh v12 exam #certified ethical hacker v12 #certified ethical hacker exam update #ceh v12 #ceh v11 vs v12 certified ethical hacker exam #ceh exam #ceh certification exam #ceh v12 certified ethical hacking exam #certified ethical hacking #certified ethical hacker #ceh practical exam guide #ceh certification 2022 #ceh exam prepedureka #ceh edureka #edureka https://ml.streamdb.net/timelines/v/KIVfBZuRDaE Thu, 11 Jan 24 21:00:00 +0900 PMBOK 7th Edition Tutorial | PMBOK 7th Edition Explained | PMP CertificationTraining | Edureka 🔥 𝐏𝐌𝐏 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/pmp-certification-exam-training This PMBOK 7th edition tutorial video is a comprehensive guide to the latest project management principles, practices, and methodologies. It covers fundamental concepts, and updated strategies for navigating complex projects, making it valuable for both seasoned professionals and newcomers in the field. ✅ 00:00 - PMBOK 7th edition (Project Management Body of Knowledge) ✅ 03:11 - The Key Knowledge areas the PMBOK Guide covers ✅ 04:32 - What is the PMBOK Guide? ✅ 04:59 - The Key updates and changes in the 7th Edition ✅ 07:28 - key components and principles provided in the PMBOK Guide ✅ 10:23 - The Key Distinctions in PMBOK 7th Edition ✅ Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 📝Feel free to share your comments below.📝 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 PMP Online Training: http://bit.ly/3XugO44 🌕 AWS Online Training: http://bit.ly/3ADYwDY 🔵 React Online Training: http://bit.ly/3Vc4yDw 🌕 Tableau Online Training: http://bit.ly/3guTe6J 🔵 Power BI Online Training: http://bit.ly/3VntjMY 🌕 Selenium Online Training: http://bit.ly/3EVDtis 🔵 DevOps Online Training: http://bit.ly/3VkBRUT 🌕 Salesforce Online Training: http://bit.ly/3OsAXDH 🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t 🌕 Java Online Training: http://bit.ly/3tRxghg 🔵 Big Data Online Training: http://bit.ly/3EvUqP5 🌕 RPA Online Training: http://bit.ly/3GFHKYB 🔵 Python Online Training: http://bit.ly/3Oubt8M 🌕 Azure Online Training: http://bit.ly/3i4P85F 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ - - - - - - - - - - - - - - What is a PMP certification? A PMP certification, provided by the Project Management Institute (PMI), validates and elevates the expertise and abilities of project managers. It showcases mastery in project management principles, top practices, and methodologies, holding worldwide recognition as a testament to proficiency in the industry. - - - - - - - - - - - - - - Who should go for this course? Project managers aiming to enhance their skills. Professionals aspiring to become project managers. Individuals seeking validation of their project management expertise. - - - - - - - - - - - - - - The concise prerequisites for the PMP Course: Complete 35 hours of formal project management education through online training. Obtain PMP certification by demonstrating either 4,500 hours of project leadership (with a four-year degree) or 7,500 hours (with a secondary diploma). This ensures a mix of education and practical experience for certification. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free). #yt:cc=on #pmbok guide 7th edition #pmbok guide 7th edition tutorial #pmbok guide 7th edition course #pmbok guide 7th edition explained #complete pmbok guide 7th edition explained #pmbok 7th edition #pmbok 7th edition tutorial #pmbok 7th edition explained #pmbok 7th edition course #pmp training course #pmp course #pmbok 7th edition overview #pmbok 7th edition summary #pmbok guide 7th edition overview #pmbok Key Knowledge areas #edureka #pmbok® guide 7th edition #yt:cc=on #pmbok guide 7th edition #pmbok guide 7th edition tutorial #pmbok guide 7th edition course #pmbok guide 7th edition explained #complete pmbok guide 7th edition explained #pmbok 7th edition #pmbok 7th edition tutorial #pmbok 7th edition explained #pmbok 7th edition course #pmp training course #pmp course #pmbok 7th edition overview #pmbok 7th edition summary #pmbok guide 7th edition overview #pmbok Key Knowledge areas #edureka #pmbok® guide 7th edition https://ml.streamdb.net/timelines/v/_V8eKsto3Ug Thu, 06 Jun 19 23:12:38 +0900 R Programming Tutorial - Learn the Basics of Statistical Computing Learn the R programming language in this tutorial course. This is a hands-on overview of the statistical programming language R, one of the most important tools in data science. 💻Course Files: https://drive.google.com/drive/folders/15U8WjVKbYXaq6N6Wb_6bCr9QZ1DwCkAO 💻 Course created by Barton Poulson from datalab.cc. 🔗 Check out the datalab.cc YouTube channel: https://www.youtube.com/user/datalabcc 🔗 Watch more free data science courses at http://datalab.cc/ ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Welcome ⌨️ (0:02:20) Installing R ⌨️ (0:07:17) RStudio ⌨️ (0:11:52) Packages ⌨️ (0:19:16) plot() ⌨️ (0:27:49) Bar Charts ⌨️ (0:32:10) Histograms ⌨️ (0:39:44) Scatterplots ⌨️ (0:44:39) Overlaying Plots ⌨️ (0:52:30) summary() ⌨️ (0:55:49) describe() ⌨️ (1:00:17) Selecting Cases ⌨️ (1:06:14) Data Formats ⌨️ (1:21:39) Factors ⌨️ (1:28:34) Entering Data ⌨️ (1:34:18) Importing Data ⌨️ (1:42:29) Hierarchical Clustering ⌨️ (1:49:35) Principal Components ⌨️ (1:59:16) Regression ⌨️ (2:08:36) Next Steps -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://www.freecodecamp.org/news #R (Programming Language) #Data Science #Feature Engineering #Visualization #Data Exploration #R Programming #R Programming Tutorial #R Programming Training #Data Science with R #Data Scientist #Machine Learning with R #Programming #Tutorial #Training #Data Science Training #Data Science Tutorial #Machine Learning #Data Analysis #Data Visualization #Data Science with R Programming #language #tutorial #programming #r tutorial #r course #r programming course #R (Programming Language) #Data Science #Feature Engineering #Visualization #Data Exploration #R Programming #R Programming Tutorial #R Programming Training #Data Science with R #Data Scientist #Machine Learning with R #Programming #Tutorial #Training #Data Science Training #Data Science Tutorial #Machine Learning #Data Analysis #Data Visualization #Data Science with R Programming #language #tutorial #programming #r tutorial #r course #r programming course https://ml.streamdb.net/timelines/v/JMUxmLyrhSk Sun, 02 Jun 19 17:53:49 +0900 Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka 🔥 Machine Learning Engineer Masters Program (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/masters-program/machine-learning-engineer-training This Edureka video on "Artificial Intelligence Full Course" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples. The following topics are covered in this Artificial Intelligence Full Course: 00:00 Introduction to Artificial Intelligence Course 02:27 History Of AI 06:45 Demand For AI 08:46 What Is Artificial Intelligence? 09:50 AI Applications 16:49 Types Of AI 20:24 Programming Languages For AI 27:12 Introduction To Machine Learning 28:08 Need For Machine Learning 31:48 What Is Machine Learning? 34:13 Machine Learning Definitions 37:26 Machine Learning Process 49:13 Types Of Machine Learning 49:21 Supervised Learning 52:00 Unsupervised Learning 53:44 Reinforcement Learning 55:29 Supervised vs Unsupervised vs Reinforcement Learning 58:23 Types Of Problems Solved Using Machine Learning 1:04:49 Supervised Learning Algorithms 1:05:17 Linear Regression 1:11:20 Linear Regression Demo 1:26:36 Logistic Regression 1:35:36 Decision Tree 1:55:18 Random Forest 2:07:31 Naive Bayes 2:14:37 K Nearest Neighbour (KNN) 2:20:31 Support Vector Machine (SVM) 2:26:40 Demo (Classification Algorithms) 2:42:36 Unsupervised Learning Algorithms 2:42:45 K-means Clustering 2:50:49 Demo (Unsupervised Learning) 2:56:40 Reinforcement Learning 3:24:36 Demo (Reinforcement Learning) 3:31:41 AI vs Machine Learning vs Deep Learning 3:33:08 Limitations Of Machine Learning 3:36:32 Introduction To Deep Learning 3:38:36 How Deep Learning Works? 3:40:48 What Is Deep Learning? 3:41:50 Deep Learning Use Case 3:43:14 Single Layer Perceptron 3:50:56 Multi Layer Perceptron (ANN) 3:52:55 Backpropagation 3:54:39 Training A Neural Network 4:01:02 Limitations Of Feed Forward Network 4:03:18 Recurrent Neural Networks 4:05:36 Convolutional Neural Networks 4:09:00 Demo (Deep Learning) 4:29:02 Natural Language Processing 4:30:53 What Is Text Mining? 4:32:43 What Is NLP? 4:33:26 Applications Of NLP 4:35:53 Terminologies In NLP 4:41:19 NLP Demo 4:47:21 Machine Learning Masters Program 🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py Python Full Course: https://www.youtube.com/watch?v=WGJJIrtnfpk Statistics and Probability Tutorial: https://www.youtube.com/watch?v=XcLO4f1i4Yo 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬 🔵 Python Programming Certification: http://bit.ly/37rEsnA 🔵 Python Certification Training for Data Science: http://bit.ly/2Gj6fux 🔴. 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It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning. The Master's Program Covers Topics LIke: Python Programming PySpark HDFS Spark SQL Machine Learning Techniques and Artificial Intelligence Types Tokenization Named Entity Recognition Lemmatization Supervised Algorithms Unsupervised Algorithms Tensor Flow Deep learning Keras Neural Networks Bayesian and Markov’s Models Inference Decision Making Bandit Algorithms Bellman Equation Policy Gradient Methods. ------------- Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information #yt:cc=on #Artificial Intelligence Full Course #artificial intelligence #Artificial Intelligence Tutorial for Beginners #Artificial Intelligence Tutorial #Artificial Intelligence course #artificial intelligence crash course #artificial intelligence course for beginners #artificial intelligence training #edureka #what is artificial intelligence #artificial intelligence edureka #artificial intelligence for beginners #ai tutorial #Ai tutorial for beginners #yt:cc=on #Artificial Intelligence Full Course #artificial intelligence #Artificial Intelligence Tutorial for Beginners #Artificial Intelligence Tutorial #Artificial Intelligence course #artificial intelligence crash course #artificial intelligence course for beginners #artificial intelligence training #edureka #what is artificial intelligence #artificial intelligence edureka #artificial intelligence for beginners #ai tutorial #Ai tutorial for beginners https://ml.streamdb.net/timelines/v/vaLXPv0ewHU Tue, 21 Nov 23 13:30:00 +0900 Top 10 Technologies To Learn In 2024 | Trending Technologies In 2024 | Edureka 🔥 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py This Edureka video on "𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒" video will introduce you to all the popular and trending technologies in the market which you should focus on in 2024. These are the best trending technologies that you need to learn in order to have a successful career in the year 2024. 00:00 TOP 10 TECHNOLOGIES TO LEARN IN 2024 01:00 GENERATIVE AI 02:23 CYBERSECURITY 03:34 SUSTAINABLE TECH SOLUTIONS 04:47 CLOUD COMPUTING & DEVOPS 05:55 DATA SCIENCE & ANALYTICS 06:55 HUMAN-COMPUTER INTERACTION 08:19 BLOCKCHAIN 09:34 FULL-STACK WEB DEVELOPMENT 10:39 VR/AR 11:40 ROBOTIC PROCESS AUTOMATION 📝Let us know your list of top 10 trending technologies to learn in 2024 in the comment section.📝 🔴 Subscribe to our channel to get video updates. 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