Introduction to Machine Learning

ENG EC 414

Undergraduate Prerequisites: (ENGEK103 & ENGEK125 & ENGEK381) - Linear regression. Maximum likelihood and maximum a posteriori estimation. Classification techniques, including na?ve Bayes, k-nearest neighbors, logistic regression, and support vector machines. Data visualization and feature extraction, including principal components analysis and linear projections. Clustering. Introduction to neural networks and deep learning. Discussion of other modern analysis methods.

FALL 2024 Schedule

Section Instructor Location Schedule Notes
A1 Saligrama CDS B62 MW 2:30 pm-4:15 pm If EC 414 is closed, the waitlist is: https://ece.wufoo.com/forms/sc5k6wl1xoqjyf/

FALL 2024 Schedule

Section Instructor Location Schedule Notes
B1 Saligrama MUG 205 F 10:10 am-11:00 am

FALL 2024 Schedule

Section Instructor Location Schedule Notes
B2 Saligrama MUG 205 F 12:20 pm-1:10 pm

Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.