Computer Science Program
Course Description

CS 241
Machine Learning
Spring

This course provides a broad introduction to machine learning and statistical pattern recognition including both supervised and unsupervised learning from a computational perspective. Topics include generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines, clustering, dimensionality reduction, and kernel methods. Additional topics as time allows.

Course Credit:
4

Instructor(s):
Almudena Konrad

Prerequisite:
CS 064 and CS 124 and MATH 050

  ICS Program Brochure

About the Program

Requirements

ยป Course List

Course Schedule

Graduate Catalog

Academic Calendar

Library

ICS Thesis Guidelines

Summer Internships

Talks and Workshops

Tours

Contact Information
P: 510.430.3309
E: grad-admission@mills.edu

If you have a specific question for a faculty member, please contact ics@mills.edu or call 510.430.2226.


Last Updated: 8/25/17