Machine Learning Video Course (CS 229) | Professor Andrew Ng

This is not for GATE Aspirants.

This is for CS/EE/ECE Students who are interested in Machine learning course.

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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