Elect Engr & Computer Science - Intro to Machine Learning

Catalog description

This course provides an introduction to the basic methods of machine learning and how to apply them to solve software engineering problems. Topics covered are: supervised learning, unsupervised learning, and reinforcement learning methods; feature selection techniques; structuring machine learning solutions; and evaluation metrics. Prerequisite: EECS 330 and EECS 461 or MATH 526 or equivalent and upper-level EECS eligibility.