Machine Learning . CMPSC 165B
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
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Grading1, 2, 3
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Level LimitEngineering
CollegeUnlocks PSTAT 134 PSTAT 135 PSTAT 234 PSTAT 235
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3
4.7
Amazing professor. He puts in effort during lectures to guide all students through the material. Assignments are graded VERY leniently and are generally fun to figure out. He'll tell you exactly what is on the tests, almost question by question. Super straightforward if you study those concepts.
Best machine learning course I've taken. This was a new course and he did a really good job explaining the concepts. He was very willing to adjust the course given that it hadn't been taught before and made the workload much easier and even got rid of the final.
This was the first time teaching 190I but the material was presented in a really good way. Professor Chang was willing to spend extra time in and out of class reviewing concepts people had questions about. We covered a bit less material than I hoped but he was very open to feedback and will likely require CS165B before this class in the future.
Jonathan Balkind
3.4
Yu Feng
2.6
Michael Beyeler
5.0
Rich Wolski
4.2
Elizabeth Belding
3.8