DATA 571 - 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: Graduate status; MATH 204 and MATH 341; or instructor permission. MATH 224 is recommended.
Credits: 4
Grade Mode: Letter