Lecture 3 | Machine Learning (Stanford)
- Title:
- Lecture 3 | Machine Learning (Stanford)
- Description:
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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng delves into locally weighted regression, probabilistic interpretation and logistic regression and how it relates to machine learning.
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=A89DCFA6ADACE599CS 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 - Video Language:
- English
- Duration:
- 01:13:14
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Lu Ezra edited Chinese, Simplified subtitles for Lecture 3 | Machine Learning (Stanford) | |
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Jialin Liu edited Chinese, Simplified subtitles for Lecture 3 | Machine Learning (Stanford) | |
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Oops edited Chinese, Simplified subtitles for Lecture 3 | Machine Learning (Stanford) | |
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Daniel Rugeles edited Spanish subtitles for Lecture 3 | Machine Learning (Stanford) | |
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Timothy Lin edited English subtitles for Lecture 3 | Machine Learning (Stanford) | |
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Edwin Lee edited Korean subtitles for Lecture 3 | Machine Learning (Stanford) | |
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Edwin Lee edited Korean subtitles for Lecture 3 | Machine Learning (Stanford) | |
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Edwin Lee edited Korean subtitles for Lecture 3 | Machine Learning (Stanford) |