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Stanford University via YouTube Video playlist

Artificial Intelligence 2023 Playlist

Overview

2023 brought massive breakthroughs in artificial intelligence. Over the course of the year we were honored to hear from some of the most influential thinkers in the field.

Videos in this playlist 22

  1. Ask About AI: Professor Chris Manning Answers AI-Generated Questions
  2. Ask About AI: Professor Chris Manning Answers Your AI Career Questions
  3. Ask About AI: Professor Chris Manning on the Future of AI
  4. Ask About AI: Professor Chris Manning on Foundation Models
  5. Ask About AI: Professor Chris Manning on Explainability in AI Models
  6. Stanford Professor Chris Manning: Ask About AI - Full Version
  7. Andrew Ng and Fei-Fei Li Discuss Human-Centered Artificial Intelligence - Stanford Online
  8. What advice do you have for getting started in AI & Machine Learning? - Fei-Fei Li & Andrew Ng
  9. Andrew Ng and Chris Manning Discuss Natural Language Processing
  10. What does the future hold for AI and Robotics? - Chelsea Finn & Andrew Ng
  11. Is a Career in AI and Machine Learning Right for Me? - Fei-Fei Li & Andrew Ng
  12. What inspired you to choose AI and Robotics as a profession? - Chelsea Finn & Andrew Ng
  13. What is our ethical responsibility with AI & Machine Learning? - Fei-Fei Li & Andrew Ng
  14. What inspired you to study Natural Language Processing? - Chris Manning & Andrew Ng
  15. AI and Robotics - Chelsea Finn & Andrew Ng
  16. What advice do you have for someone breaking in to AI? - Chris Manning & Andrew Ng
  17. What does the future hold for Natural Language Processing? - Andrew Ng & Chris Manning
  18. What is it like working in an AI lab? - Chelsea Finn & Andrew Ng
  19. Andrew Ng: Opportunities in AI - 2023
  20. Stanford Webinar - GPT-3 & Beyond
  21. Stanford Webinar - The Frontier of Deep Learning for Robotics, Chelsea Finn
  22. Stanford Webinar - Building Safe and Reliable Autonomous Systems

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • The actual Stanford lectures (CS229, CS224N, CS231N…): the deepest free material on AI anywhere.
  • Taught by Stanford University, one of the strongest names in its field.
  • 2,022,223 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (22 videos) you can see before you start.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • Graduate level: needs linear algebra, probability and programming first.
  • No certificate.
  • No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Stanford University is in Tier 1: world-leading universities and India's top institutes of our institution ranking (97/100).

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