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MACHINE LEARNING

COMPSCI/ECE 760
Course Description

Computational approaches to learning: including inductive inference, explanation-based learning, analogical learning, connectionism, and formal models. What it means to learn. Algorithms for learning. Comparison and evaluation of learning algorithms. Cognitive modeling and relevant psychological results.

Prerequisites

Graduate/professional standing

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.53

-2.04% from Historical

Completion Rate
97.01%

-1.91% from Historical

A Rate
38.81%

-27.85% from Historical

Class Size
67

-8.39% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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