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Home > Academics > Undergraduate > Computer Science >
Computer Science
Course Description

CS 141
Machine Learning

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.
Offered every other year beginning 2019-20.

Course Credit:
4

Instructor(s):
Almudena Konrad

Prerequisite:
CS 064 and CS 124 and MATH 050

Program Information
Overview

Faculty and Staff

Requirements

Courses
Computer Sciences Course List

Schedule of Courses for
the Current Semester


Activities & Resources
Computer Science Graduate Education

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Contact Information

P: 510.430.2226
F: 510.430.3314
E: cs@mills.edu

Last Updated: 6/23/17