COGS department

COGS 118B. Introduction to Machine Learning (4 units)

Link to catalog page: https://catalog.ucsd.edu/courses/COGS.html#cogs118b

Description

This course, with COGS 118A, forms a rigorous introduction to machine learning. Topics in 118B include maximum likelihood estimation, Bayesian parameter estimation, clustering, principal component analysis, and some application areas. COGS 118A-B may be taken in either order. Prerequisites: BILD 62 or COGS 18 or CSE 11 or CSE 8B or CSE 11 and MATH 18 or MATH 31AH and MATH 20E and ECE 109 or ECON 120A or MAE 108 or MATH 180A or MATH 183 or MATH 186 and COGS 108 or COGS 109 or COGS 118A or COGS 188 or CSE 150A or CSE 151A or CSE 158 or CSE 158R or DSC 148 or ECE 174 or ECE 175A.

Prerequisite courses

Successor courses

COGS 118B is a prerequisite of the following 6 courses:

• COGS 118A
• COGS 181
• COGS 182
• COGS 188
• COGS 189
• CSE 151B