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
Unlocks PSTAT 134 PSTAT 135 PSTAT 234 PSTAT 235
These majors only cmpsc cmpen
WANG Y F
No info found
PHELP1445
F
12:00 PM - 12:50 PM
33 / 33 Full

PHELP1440
F
13:00 PM - 13:50 PM
33 / 33 Full

PHELP1440
F
14:00 PM - 14:50 PM
0 / 34 Closed

Winter 2024 . Chang Shiyu
CHEM 1171
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17:00 PM - 18:15 PM
Spring 2025 . Guo W
ILP 2101
T R
15:30 PM - 16:45 PM
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