Lecture 1 | Machine Learning (Stanford)

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science office. Professor Ng provides an overview of the training course in this introductory assembly.

This class offers a wide introduction to machine learning and statistical sample recognition. Matters involve supervised learning, unsupervised learning, finding out theory, reinforcement learning and adaptive manage. Latest purposes of machine learning, such as to robotic command, data mining, autonomous navigation, bioinformatics, speech recognition, and textual content and internet facts processing are also mentioned.

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