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Lecture 1 | Machine Learning (Stanford)

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Uploaded by 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?p=A89DCFA6ADACE599

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

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LICENSE: Creative Commons (Attribution-Noncommercial-No Derivative Works).

For more information about this license, please read: http://creativecommons.org/licenses/by-nc-nd/3.0/.

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  • @disprefer more like skip to 32:38 - if you are here to learn about maschine learning

  • @matthewrobertson03 because you can't put "watched youtube" on a resume :P

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  • New version of this class at classx.stanford.edu/ClassX/sys­tem/users/web/pg/view_subject.­php?subject=CS229_FALL_2011_20­12&cxm=1

  • @cmwslw Native English speakers don't use "um"?!? If one truly listens how he enunciate each word, one would know he actually speaks "English"!

  • i was wondering are the robots self aware??

  • If you liked this, see stanfords online course at ml - class dot org

  • I stopped watching when he said infinite dimensional space. O_o

  • Chill out with the 'um' complaints. English isn't his first language and he's probably a lot smarter than you. Thanks for the free info, Stanford.

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