動画一覧 - Stanford Online - 機械学習のまとめ Stanford Onlineの動画一覧です。 https://ml.streamdb.net/videos-rss/c/UCBa5G_ESCn8Yd4vw5U-gIcg Thu, 25 Apr 24 09:10:11 +0900 Information Session: Leading People, Culture, and Innovation Program https://ml.streamdb.net/timelines/v/Fazl5mHm9H8 Thu, 25 Apr 24 09:10:11 +0900 00:00:17 Logistics 00:02:16 Program Certificate 00:02:40 Courses 00:04:45 Faculty 00:07:25 Enrollment Options 00:10:00 Course Record of Completion 00:11:32 Who is this program for? 00:20:45 Q&A 00:25:48 Group Enrollment Discount 00:26:00 Q&A Information Session: Leading People, Culture, and Innovation Program Ready to level up your leadership skills? Check out our new Leading People, Culture, and Innovation Program: https://online.stanford.edu/programs/leading-people-culture-and-innovation-program Led by Assistant Director of Creativity and Innovation Programs, Robyn Woodman, this session provides an engaging dive into the core curriculum and unique benefits of the program. Whether you're a seasoned executive looking to enhance your leadership prowess or an aspiring leader eager to ignite innovation, this session is perfect for individuals passionate about driving positive change within their teams and organizations. Chapters 00:17 Logistics 02:16 Program Certificate 02:40 Courses 04:45 Faculty 07:25 Enrollment Options 10:00 Course Record of Completion 11:32 Who is this program for? 20:45 Q&A 25:48 Group Enrollment Discount 26:00 Q&A #webinar #leadership #onlineclasses #Stanford #Stanford Online #Stanford #Stanford Online Stanford CS25: V4 I Overview of Transformers https://ml.streamdb.net/timelines/v/fKMB5UlVY1E Wed, 24 Apr 24 01:24:00 +0900 Stanford CS25: V4 I Overview of Transformers April 4, 2024 Steven Feng, Stanford University [https://styfeng.github.io/] Div Garg, Stanford University [https://divyanshgarg.com/] Emily Bunnapradist, Stanford University [https://www.linkedin.com/in/ebunnapradist/] Seonghee Lee, Stanford University [https://shljessie.github.io/] Brief intro and overview of the history of NLP, Transformers and how they work, and their impact. Discussion about recent trends, breakthroughs, applications, and remaining challenges/weaknesses. Also discussion about AI agents. Slides here: https://docs.google.com/presentation/d/1oXPs3LXtIVIsVbwTyGjAWj_aWvak9c1uNC4uhkS6glk/edit?usp=sharing More about the course can be found here: https://web.stanford.edu/class/cs25/ View the entire CS25 Transformers United playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM #Stanford #Stanford Online #Stanford #Stanford Online Stanford Seminar - Towards Safe and Efficient Learning in the Physical World https://ml.streamdb.net/timelines/v/HfkcXxC-JUs Sat, 20 Apr 24 00:30:07 +0900 Stanford Seminar - Towards Safe and Efficient Learning in the Physical World April 5, 2024 Andreas Krause of ETH Zurich How can we enable agents to efficiently and safely learn online, from interaction with the real world? I will first present safe Bayesian optimization, where we quantify uncertainty in the unknown objective and constraints, and, under some regularity conditions, can guarantee both safety and convergence to a natural notion of reachable optimum. I will then consider Bayesian model-based deep reinforcement learning, where we use the epistemic uncertainty in the world model to guide exploration while ensuring safety. Lastly I will discuss how we can meta-learn flexible probabilistic models from related tasks and simulations, and demonstrate our approaches on real-world applications, such as robotics tasks and tuning the SwissFEL Free Electron Laser. About the speaker: https://inf.ethz.ch/people/person-detail.krause.html More about the course can be found here: https://stanfordasl.github.io/robotics_seminar/ View the entire AA289 Stanford Robotics and Autonomous Systems Seminar playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMeercb-kvGLUrOq4HR6BZD ► Check out the entire catalog of courses and programs available through Stanford Online: https://online.stanford.edu/explore #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 18 - Video Compression https://ml.streamdb.net/timelines/v/uKnEZKpZKVA Fri, 19 Apr 24 01:00:50 +0900 Stanford EE274: Data Compression I 2023 I Lecture 18 - Video Compression To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 8 - Beyond IID distributions: Conditional entropy https://ml.streamdb.net/timelines/v/tGPF2nw5Exc Fri, 19 Apr 24 01:00:48 +0900 Stanford EE274: Data Compression I 2023 I Lecture 8 - Beyond IID distributions: Conditional entropy To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 5 - Asymptotic Equipartition Property https://ml.streamdb.net/timelines/v/yeKngztLcBs Fri, 19 Apr 24 01:00:47 +0900 Stanford EE274: Data Compression I 2023 I Lecture 5 - Asymptotic Equipartition Property To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 3 - Kraft Inequality, Entropy, Introduction to SCL https://ml.streamdb.net/timelines/v/kbAif7XhlTI Fri, 19 Apr 24 01:00:38 +0900 Stanford EE274: Data Compression I 2023 I Lecture 3 - Kraft Inequality, Entropy, Introduction to SCL To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 11 - Lossy Compression Basics; Quantization https://ml.streamdb.net/timelines/v/YEF0iCiQlOg Fri, 19 Apr 24 01:00:33 +0900 Stanford EE274: Data Compression I 2023 I Lecture 11 - Lossy Compression Basics; Quantization To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 6 - Arithmetic Coding https://ml.streamdb.net/timelines/v/L4n2u1TTkO4 Fri, 19 Apr 24 01:00:21 +0900 Stanford EE274: Data Compression I 2023 I Lecture 6 - Arithmetic Coding To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 16 - Learnt Image Compression https://ml.streamdb.net/timelines/v/H7dvh35xNuE Fri, 19 Apr 24 01:00:19 +0900 Stanford EE274: Data Compression I 2023 I Lecture 16 - Learnt Image Compression To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 1 - Course Intro, Lossless Data Compression Basics https://ml.streamdb.net/timelines/v/FF7DRogZZdY Fri, 19 Apr 24 01:00:17 +0900 Stanford EE274: Data Compression I 2023 I Lecture 1 - Course Intro, Lossless Data Compression Basics To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 17 - Humans and Compression https://ml.streamdb.net/timelines/v/LE6GLWv63wc Fri, 19 Apr 24 01:00:14 +0900 Stanford EE274: Data Compression I 2023 I Lecture 17 - Humans and Compression To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 2 - Prefix Free Codes https://ml.streamdb.net/timelines/v/EKdlz3vae04 Fri, 19 Apr 24 01:00:13 +0900 Stanford EE274: Data Compression I 2023 I Lecture 2 - Prefix Free Codes To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 9 - Context-based AC & LLM Compression https://ml.streamdb.net/timelines/v/B8ucNShRwjQ Fri, 19 Apr 24 01:00:12 +0900 Stanford EE274: Data Compression I 2023 I Lecture 9 - Context-based AC & LLM Compression To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 4 - Huffman Codes https://ml.streamdb.net/timelines/v/975qcAxZCG0 Fri, 19 Apr 24 01:00:06 +0900 Stanford EE274: Data Compression I 2023 I Lecture 4 - Huffman Codes To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 7 - ANS https://ml.streamdb.net/timelines/v/5Hp4bnvSjng Fri, 19 Apr 24 01:00:04 +0900 Stanford EE274: Data Compression I 2023 I Lecture 7 - ANS To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE274: Data Compression I 2023 I Lecture 10 - LZ and Universal Compression https://ml.streamdb.net/timelines/v/amv9LiGyY5s Fri, 19 Apr 24 01:00:02 +0900 Stanford EE274: Data Compression I 2023 I Lecture 10 - LZ and Universal Compression To follow along with the course, visit the course website: https://stanforddatacompressionclass.github.io/Fall23/ Tsachy Weissman Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~tsachy/ Shubham Chandak https://shubhamchandak94.github.io/ Pulkit Tandon Learn more about the online course and how to enroll: https://online.stanford.edu/courses/ee274-data-compression-theory-and-applications To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Learn to code for free with Stanford's Code in Place | The Topics https://ml.streamdb.net/timelines/v/ateGafcZACA Thu, 11 Apr 24 05:47:31 +0900 Learn to code for free with Stanford's Code in Place | The Topics Applications for Stanford University's free introduction to coding course are due Friday, April 12th! Apply today: https://codeinplace.stanford.edu/ Why join the 6-week program? - Complete lectures and assignments adapted from Stanford’s on-campus introduction to computer science course - Participate in weekly virtual sessions with a volunteer teacher to go over the material - Create a portfolio with creative projects to showcase what you’ve learned - Earn a Stanford Certificate to prove your mastery of fundamental coding skills #coding #computerscience #programming #learncoding #Stanford #Stanford Online #Stanford #Stanford Online Learn to code for free with Stanford's Code in Place | Why you should join https://ml.streamdb.net/timelines/v/2ZEoiogbv7M Thu, 11 Apr 24 05:44:26 +0900 Learn to code for free with Stanford's Code in Place | Why you should join Applications for Stanford University's free introduction to coding course are due Friday, April 12th! Why join the 6-week program? - Complete lectures and assignments adapted from Stanford’s on-campus introduction to computer science course - Participate in weekly virtual sessions with a volunteer teacher to go over the material - Create a portfolio with creative projects to showcase what you’ve learned - Earn a Stanford Certificate to prove your mastery of fundamental coding skills Apply today: https://codeinplace.stanford.edu/ #coding #computerscience #programming #learncoding #Stanford #Stanford Online #Stanford #Stanford Online Stanford Seminar - Silicon Valley & The U.S. Government: DoD’s Office of Strategic Capital https://ml.streamdb.net/timelines/v/6jXyyu9XjTE Tue, 02 Apr 24 08:33:34 +0900 Stanford Seminar - Silicon Valley & The U.S. Government: DoD’s Office of Strategic Capital November 28, 2023 Jason Rathje, Office of Strategic Capital DoD’s Office of Strategic Capital Director Jason Rathje is interviewed by Ernestine Mak. The Office of Strategic Capital’s mission is to attract and scale private capital in support of national security. The office is focused on the development and implementation of new financial tools to support and increase public-private investment in critical frontier technologies. — This session is part of the “Silicon Valley & The U.S. Government” speaker series co-led by Ernestine Mak, Steve Blank, Paul Kwan, and Joe Felter. Silicon Valley collaborations with the U.S. government have led to some of the most important technologies in our society. Driven by visionary leaders, these collaborations have overcome regulatory, business, and technological challenges to achieve exceptional innovation. The results of these innovations have addressed national issues and societal challenges. As government and industry collaboration is more important than ever to accelerate private sector innovation and shape the future of technology, join us in hearing the personal accounts of technology experts, business executives, and public service leaders who have paved the way with these types of innovations. #Stanford #Stanford Online #Stanford #Stanford Online Stanford Seminar - Silicon Valley & The U.S. Government: Vannevar Lab's Brett Granberg https://ml.streamdb.net/timelines/v/NnQV12Ue3K4 Tue, 02 Apr 24 08:33:28 +0900 Stanford Seminar - Silicon Valley & The U.S. Government: Vannevar Lab's Brett Granberg October 31, 2023 Brett Granberg, Vannevar Labs Brett Granberg, co-founder and CEO of Vannevar Labs, is interviewed by Steve Blank and Paul Kwan. Vannevar Labs builds computer vision and natural language processing products for use in security and defense. __ This session is part of the “Silicon Valley & The U.S. Government” speaker series co-led by Ernestine Mak, Steve Blank, Paul Kwan, and Joe Felter. Silicon Valley collaborations with the U.S. government have led to some of the most important technologies in our society. Driven by visionary leaders, these collaborations have overcome regulatory, business, and technological challenges to achieve exceptional innovation. The results of these innovations have addressed national issues and societal challenges. As government and industry collaboration is more important than ever to accelerate private sector innovation and shape the future of technology, join us in hearing the personal accounts of technology experts, business executives, and public service leaders who have paved the way with these types of innovations. #Stanford #Stanford Online #Stanford #Stanford Online Stanford Seminar - Silicon Valley & The U.S. Government: Anduril Industries’ Trae Stephens https://ml.streamdb.net/timelines/v/liGE6bFvZMQ Tue, 02 Apr 24 08:33:21 +0900 Stanford Seminar - Silicon Valley & The U.S. Government: Anduril Industries’ Trae Stephens September 26, 2023 Trae Stephens, Anduril Industries Trae Stephens, co-founder and chairman of Anduril Industries, is interviewed by Ernestine Mak and Paul Kwan. Anduril Industries builds advanced technologies to solve national security challenges. -- This session is part of the “Silicon Valley & The U.S. Government” speaker series co-led by Ernestine Mak, Steve Blank, Paul Kwan, and Joe Felter. Silicon Valley collaborations with the U.S. government have led to some of the most important technologies in our society. Driven by visionary leaders, these collaborations have overcome regulatory, business, and technological challenges to achieve exceptional innovation. The results of these innovations have addressed national issues and societal challenges. As government and industry collaboration is more important than ever to accelerate private sector innovation and shape the future of technology, join us in hearing the personal accounts of technology experts, business executives, and public service leaders who have paved the way with these types of innovations. #Stanford #Stanford Online #Stanford #Stanford Online Stanford Seminar - Silicon Valley & The U.S. Government: Former U.S. JSOC Commander Scott Howell https://ml.streamdb.net/timelines/v/f33RbFvY9Rs Tue, 02 Apr 24 08:33:17 +0900 Stanford Seminar - Silicon Valley & The U.S. Government: Former U.S. JSOC Commander Scott Howell October 3, 2023 Scott Howell, Joint Special Operations Command Scott Howell, 15th Commander of Joint Special Operations Command, is interviewed by Ernestine Mak and Paul Kwan. Joint Special Operations Command (JSOC) is a component command of the U.S. Special Operations Command (USSOCOM) and is charged to study special operations requirements and techniques to ensure interoperability and equipment standardization; to plan and conduct special operations exercises and training; to develop joint special operations tactics; and to execute special operations missions worldwide. -- This session is part of the “Silicon Valley & The U.S. Government” speaker series co-led by Ernestine Mak, Steve Blank, Paul Kwan, and Joe Felter. Silicon Valley collaborations with the U.S. government have led to some of the most important technologies in our society. Driven by visionary leaders, these collaborations have overcome regulatory, business, and technological challenges to achieve exceptional innovation. The results of these innovations have addressed national issues and societal challenges. As government and industry collaboration is more important than ever to accelerate private sector innovation and shape the future of technology, join us in hearing the personal accounts of technology experts, business executives, and public service leaders who have paved the way with these types of innovations. #Stanford #Stanford Online #Stanford #Stanford Online Stanford Seminar - Silicon Valley & The U.S. Government: The Honorable Sue Gordon https://ml.streamdb.net/timelines/v/M28OO8_Gucc Tue, 02 Apr 24 08:33:13 +0900 Stanford Seminar - Silicon Valley & The U.S. Government: The Honorable Sue Gordon October 24, 2023 Sue Gordon, Office of the Director of National Intelligence The Honorable Sue Gordon is interviewed by Ernestine Mak and Steve Blank. After being confirmed as the Principal Deputy Director of National Intelligence, Sue became the Nation’s highest-ranking career intelligence officer. She has also been former Deputy Director of the National Geospatial-Intelligence Agency and former Director of the Central Intelligence Agency's Information Operations Center. — This session is part of the “Silicon Valley & The U.S. Government” speaker series co-led by Ernestine Mak, Steve Blank, Paul Kwan, and Joe Felter. Silicon Valley collaborations with the U.S. government have led to some of the most important technologies in our society. Driven by visionary leaders, these collaborations have overcome regulatory, business, and technological challenges to achieve exceptional innovation. The results of these innovations have addressed national issues and societal challenges. As government and industry collaboration is more important than ever to accelerate private sector innovation and shape the future of technology, join us in hearing the personal accounts of technology experts, business executives, and public service leaders who have paved the way with these types of innovations. #Stanford #Stanford Online #Stanford #Stanford Online Stanford Seminar - Silicon Valley & The U.S. Government: In-Q-Tel’s Steve Bowsher https://ml.streamdb.net/timelines/v/ShjFX4r9J78 Tue, 02 Apr 24 08:33:08 +0900 Stanford Seminar - Silicon Valley & The U.S. Government: In-Q-Tel’s Steve Bowsher October 10, 2023 Steve Bowsher, In-Q-Tel In-Q-Tel CEO and President Steve Bowsher is interviewed by Ernestine Mak and Joe Felter. Founded in 1999, In-Q-Tel is the non-profit strategic investor that accelerates the development and delivery of cutting-edge technologies to U.S. government agencies and allied nations. __ This session is part of the “Silicon Valley & The U.S. Government” speaker series co-led by Ernestine Mak, Steve Blank, Paul Kwan, and Joe Felter. Silicon Valley collaborations with the U.S. government have led to some of the most important technologies in our society. Driven by visionary leaders, these collaborations have overcome regulatory, business, and technological challenges to achieve exceptional innovation. The results of these innovations have addressed national issues and societal challenges. As government and industry collaboration is more important than ever to accelerate private sector innovation and shape the future of technology, join us in hearing the personal accounts of technology experts, business executives, and public service leaders who have paved the way with these types of innovations. #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 18 https://ml.streamdb.net/timelines/v/4A5opemjRW4 Wed, 27 Mar 24 07:32:01 +0900 Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 18 To follow along with the course, visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 17 https://ml.streamdb.net/timelines/v/vcTIA2X0UVk Wed, 27 Mar 24 07:31:52 +0900 Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 17 To follow along with the course, visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 16 https://ml.streamdb.net/timelines/v/Sx7TKDFJjmk Wed, 27 Mar 24 00:00:18 +0900 Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 16 To follow along with the course, visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 15 https://ml.streamdb.net/timelines/v/zVO4ccvrwrI Tue, 26 Mar 24 00:01:01 +0900 Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 15 To follow along with the course, visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 14 https://ml.streamdb.net/timelines/v/dAvxvA4_Euo Mon, 25 Mar 24 00:00:27 +0900 Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 14 o follow along with the course, visit the course website: https://web.stanford.edu/class/ee364a/ Stephen Boyd Professor of Electrical Engineering at Stanford University https://web.stanford.edu/~boyd/ Learn more about the course and how to enroll: https://online.stanford.edu/courses/ee364a-convex-optimization-i To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu #Stanford #Stanford Online #Stanford #Stanford Online