Upload

Loading...

This video is unavailable.

Watch Queue

TV Queue

Watch QueueTV Queue

    Loading...

Watch Queue
TV Queue
__count__/__total__

Lecture 1 | Machine Learning (Stanford)

Want to watch this again later?

Sign in to add this video to a playlist.
629,487

Like this video?

Sign in to make your opinion count.

Don't like this video?

Sign in to make your opinion count.

Loading...

Loading...

Transcript

The interactive transcript could not be loaded.

Loading...

Loading...

Ratings have been disabled for this video.
Rating is available when the video has been rented.
This feature is not available right now. Please try again later.

Uploaded on Jul 22, 2008

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:
http://www.youtube.com/view_play_list...

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

  • Category

  • License

    • Standard YouTube License

Loading...

Loading...
Working...
to add this to Watch Later

Add to