Covers the most important techniques of machine learning (ML) and includes discussions of: well-posed learning problems; artificial neural networks; concept learning and general to specific ordering; decision tree learning; genetic algorithms; Bayesian learning; analytical learning; and others.

Prerequisites: Computer Science 130A.

4

Units

Letter

Grading

1, 2, 3

Passtime

Upper division only

Level Limit

Engineering

College
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GUO W
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ARTS 1356
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