CS 281. Machine Learning
Catalog Description: Learning from the point of view of artificial intelligence with contributions from philosophy and psychology. Readings and discussion will cover concept learning, compilation and intelligent caching, knowledge-based generalization, reasoning by analogy, inductive learning, architectures for general learning systems, knowledge-level analysis of learning systems. A substantial project will be undertaken.
Units: 3
Prerequisites: l88 or consent of instructor.
Formats:
Spring: 3 hours of lecture per week
Fall: 3 hours of lecture per week
Grading basis: letter
Final exam status: Written final exam conducted during the scheduled final exam period