Lecture 1 | Machine Learning (Stanford)

By | August 30, 2015

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng provides an overview of the course in this introductory meeting. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed. Complete Playlist for the Course: www.youtube.com CS 229 Course Website: www.stanford.edu Stanford University: www.stanford.edu Stanford University Channel on YouTube: www.youtube.com

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25 thoughts on “Lecture 1 | Machine Learning (Stanford)

  1. interted

    what do you think of Alpaydin’s book? is it a good textbook to consult in parallel with these lectures?

  2. wizztjh

    thanks for posting this nice video , it really help me in understanding of machine learning!

  3. kjsdffkjweh8

    Thanks for posting all these awesome lectures guys!

  4. nielsww

    Will be watching them all. Thanks for uploading these great classes!

  5. matthewrobertson03

    I’m wondering why I spent so much money on a university degree -_-

  6. TheMr247

    Thankyou!! fantastic post!! will be watching them all – and looking out for more :)

  7. tleeuwenburg

    I would just like to echo another “Thank You”.

  8. notbored12

    Machine learning used to be called “statistical pattern recognition” but a more vague and impressive sounding title probably attracts more funding. AI has a slightly different meaning than machine learning but this comment is too brief to go into detail, google is your friend.

  9. woodengun

    fucking chines dog eater! Piss off bro, White supremacy!

  10. woodengun

    but still better than yours fella!

  11. someonefromsomewere1

    Not exactly,
    AI is just the computer following certain instructions based on predefined circumstances, but machine learning is when the machine starts to learn from its mistakes and don’t make them a second time. (or something like that )

  12. Compact3

    Isn’t AI equal to machine learning?

  13. Kornmeister

    “Machine learning” is basically when a machine is able to improve it’s AI on it’s own.

  14. edyinthesky

    does he mean AI instead of “machine learning”???

  15. allenst

    wow the guy has a personality for a wang

  16. sg04f

    Dr Ng mentions that we can find the review classes for the prerequisites online. Where are they posted?

  17. sudo333

    Professor Ng is so great.


  18. LogicalErr0r

    Great job! Thanks alot to Stanford and thier stuff but I have a small suggest which added subtitles to the video because there are alot of international students who dont understand some words without subtitles. Thanks alot

  19. MisappliedRhetoric

    31:30? Good God.


  20. disprefer

    NOTE: skip to 31:30 if you’re here to learn about machine learning.

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