Computer Sciences: Machine Learning

This entry is part 4 of 14 in the series Computer Sciences

A series of 20 lectures conducted by Stanford University.

Course Introduction:
This course (CS229) — taught by Professor Andrew Ng — 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.

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