- K-Means Clustering - The Math of Intelligence (Week 3)

K-Means Clustering - The Math of Intelligence (Week 3)

Let's detect the intruder trying to break into our security system using a very popular ML technique called K-Means Clustering! This is an example of learning from data that has no labels (unsupervised) and we'll use some concepts that we've already learned about like computing the Euclidean dist...
Let's detect the intruder trying to break into our security system using a very popular ML technique called K-Means Clustering! This is an example of learning from data that has no labels (unsupervised) and we'll use some concepts that we've already learned about like computing the Euclidean distance and a loss function to do this.

Code for this video:
https://github.com/llSourcell/k_means_clustering

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More learning resources:
http://www.kdnuggets.com/2016/12/datascience-introduction-k-means-clustering-tutorial.html
http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_ml/py_kmeans/py_kmeans_understanding/py_kmeans_understanding.html
http://people.revoledu.com/kardi/tutorial/kMean/
https://home.deib.polimi.it/matteucc/Clustering/tutorial_html/kmeans.html
http://mnemstudio.org/clustering-k-means-example-1.htm
https://www.dezyre.com/data-science-in-r-programming-tutorial/k-means-clustering-techniques-tutorial
http://scikit-learn.org/stable/tutorial/statistical_inference/unsupervised_learning.html

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#k-means #k means #clustering #unsupervised learning #scikit learn #python #data science #kaggle #data #big data #machine learning #deep learning #tensorflow #numpy #algorithm #data structure #programming #computer science #software #engineering #anomaly detection #graphing #matplotlib #artificial intelligence
....Really......Our Life is Messi......... - K-Means Clustering - The Math of Intelligence (Week 3)

....Really......Our Life is Messi.........

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:05:00 - 00:30:56
in the picture to the right shows there is 3 K, but you give an example of 2 k. this confuses me - K-Means Clustering - The Math of Intelligence (Week 3)

in the picture to the right shows there is 3 K, but you give an example of 2 k. this confuses me

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:06:38 - 00:30:56
what does the term J in Cj mean? - K-Means Clustering - The Math of Intelligence (Week 3)

what does the term J in Cj mean?

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:07:51 - 00:30:56
:D - K-Means Clustering - The Math of Intelligence (Week 3)

:D

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:08:23 - 00:30:56
aha moment - K-Means Clustering - The Math of Intelligence (Week 3)

aha moment

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:08:23 - 00:30:56
At , when Siraj says "We know we wanna classify people as either...", you can see how hard it is to think of a way to classify people without offending anyone these days lmao - K-Means Clustering - The Math of Intelligence (Week 3)

At , when Siraj says "We know we wanna classify people as either...", you can see how hard it is to think of a way to classify people without offending anyone these days lmao

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:09:53 - 00:30:56
I started to be afraid from Java in the background XD - K-Means Clustering - The Math of Intelligence (Week 3)

I started to be afraid from Java in the background XD

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:10:40 - 00:30:56
~~~ - K-Means Clustering - The Math of Intelligence (Week 3)

~~~

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:15:11 - 00:30:56
You've done a great video.. but there's a small correction that you need to do @the distance formula you've mentioned, has to be corrected a bit.. its (x1-x2)square ..  n not (x1-y1)square - K-Means Clustering - The Math of Intelligence (Week 3)

You've done a great video.. but there's a small correction that you need to do @the distance formula you've mentioned, has to be corrected a bit.. its (x1-x2)square .. n not (x1-y1)square

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:17:14 - 00:30:56
Hello Siraj, in , you mentioned "assign that distance to a cluster" which kinda confused me. In the code, you were just assigning the index of the minimum distance for each points in the dataset. In other word, this step specifies the label of which cluster such point belongs to instead of recording the minimum distance of each point. - K-Means Clustering - The Math of Intelligence (Week 3)

Hello Siraj, in , you mentioned "assign that distance to a cluster" which kinda confused me. In the code, you were just assigning the index of the minimum distance for each points in the dataset. In other word, this step specifies the label of which cluster such point belongs to instead of recording the minimum distance of each point.

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:24:40 - 00:30:56
- You didn't finish the centroid history plots. - K-Means Clustering - The Math of Intelligence (Week 3)

- You didn't finish the centroid history plots.

K-Means Clustering - The Math of Intelligence (Week 3)
2017年07月06日 
00:29:08 - 00:30:56

Siraj Raval

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. - I Built a Sports Betting Bot (WagerGPT)

.

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @ckq 様 
00:02:22 - 00:05:48
that’s an outdated player roster from 3 years ago buddy - I Built a Sports Betting Bot (WagerGPT)

that’s an outdated player roster from 3 years ago buddy

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @metalflames4 様 
00:02:22 - 00:05:48
fwiw they went 1-3 on those picks - I Built a Sports Betting Bot (WagerGPT)

fwiw they went 1-3 on those picks

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @ckq 様 
00:02:40 - 00:05:48
😂 - I Built a Sports Betting Bot (WagerGPT)

😂

I Built a Sports Betting Bot (WagerGPT)
2024年01月04日  @tennisprotrader 様 
00:05:22 - 00:05:48
the lie. any apple m* processor has it, even many phone processor have - Deep Learning with 4th Gen Xeon Processors and Intel® Accelerator Engines (AWS re:Invent 2023)

the lie. any apple m* processor has it, even many phone processor have

Deep Learning with 4th Gen Xeon Processors and Intel® Accelerator Engines (AWS re:Invent 2023)
2023年12月14日  @somerndid 様 
00:02:01 - 00:04:50
@ you are showing what appears to be yet another medical dataset "medalpaca/medical_meadow_mediqa" but it is unclear how that is used. - DoctorGPT: Offline & Passes Medical Exams!

@ you are showing what appears to be yet another medical dataset "medalpaca/medical_meadow_mediqa" but it is unclear how that is used.

DoctorGPT: Offline & Passes Medical Exams!
2023年08月13日  Mark Woodworth 様 
00:13:12 - 00:18:13
@What exactly are you concatenating? You say "instruction column and input column into a single input" but the code references only the "question" column from the "GBaker/MedQA-USMLE-4-options" dataset.  The question is then submitted for inference as-is, without being combined with anything as far as I can tell. Also - are the options (answer choices) and correct_answer_idx (multiple choice answer) used anywhere? - DoctorGPT: Offline & Passes Medical Exams!

@What exactly are you concatenating? You say "instruction column and input column into a single input" but the code references only the "question" column from the "GBaker/MedQA-USMLE-4-options" dataset. The question is then submitted for inference as-is, without being combined with anything as far as I can tell. Also - are the options (answer choices) and correct_answer_idx (multiple choice answer) used anywhere?

DoctorGPT: Offline & Passes Medical Exams!
2023年08月13日  Mark Woodworth 様 
00:13:21 - 00:13:12
@ you mention SFT with the base model, but the code appears to be using the chat model - DoctorGPT: Offline & Passes Medical Exams!

@ you mention SFT with the base model, but the code appears to be using the chat model

DoctorGPT: Offline & Passes Medical Exams!
2023年08月13日  Mark Woodworth 様 
00:18:13 - 00:38:49