DATA 471 - Machine Learning

Key machine learning theory, algorithms and experimentation techniques. Generalization, bias and variance. Classification, regression, and clustering. Linear models and nonlinear models, including neural networks. Ethical issues in machine learning.

Prerequisites & Notes: CSCI 241; MATH 204; MATH 224; and MATH 341.
Credits: 4
Grade Mode: Letter
WP Points: 1