CS7651: Human and Machine Learning

3 Credits

Explores the gap between empirical research on human learning and models from machine learning. Covers symbolic, statistical, semantic space, neural network, unsupervised, and other approaches.

Requisites

All Instructors

GPA: 3.89Most Common: A (85.7%)

This total includes data from semesters with unknown instructors

98 students
WSFDCBA


  • Vince Kim

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