CPSC 330 102 2023W

Instructor(s)
Extended Description

This course covers application of machine learning tools, with an emphasis on solving practical problems. Also included in the course are data cleaning, feature extraction, supervised and unsupervised machine learning, reproducible workflows, and communicating results.

Course Info
Section
102
Term
Term 1
Session
2023W
Dates
Days
Tue Thu
Time (start)
11:00 AM
Time (end)
12:30 PM
Date (start)
Date (end)
Location
Building
SWNG
Room
221