Computer Science 335 - Machine Learning
Machine Learning
Spring
2020
01
4.00
Katherine Keith
TTH 11:30AM-12:45PM;F 08:30AM-09:20AM
Mount Holyoke College
110295
Clapp Laboratory 206;Clapp Laboratory 206
kkeith@mtholyoke.edu
How does Neflix learn what movies a person likes? How do computers read handwritten addresses on packages, or detect faces in images? Machine learning is the practice of programming computers to learn and improve through experience, and it is becoming pervasive in technology and science. This course will cover the mathematical underpinnings, algorithms, and practices that enable a computer to learn. Topics will include supervised learning, unsupervised learning, evaluation methodology, and Bayesian probabilistic modeling. Students will learn to program in MATLAB or Python and apply course skills to solve real world prediction and pattern recognition problems. Programming Intensive.
Prereq: COMSC-205 or COMSC-211, MATH-232, and a Calculus course (MATH-101, MATH-102, or MATH-203).
Additional seats reserved for senior Data Science majors.