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.

Prerequisties

Graduate/professional standing

Satisfies

COMPSCI 762

Credits

Offered

Occasionally

Grade Point Average

3.77

4.55% from Historical

Completion Rate

100%

1.05% from Historical

A Rate

71%

30.86% from Historical

Class Size

100

36.34% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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