Fall 2020

Machine Learning

Listed in: Computer Science, as COSC-247

Faculty

Lee Spector (Sections 01 and 02)

Description

Machine Learning algorithms allow computers to be taught to perform tasks without being explicitly programmed. This course is an introduction to machine learning and data mining. The course will explore supervised, unsupervised, ensemble and reinforcement learning. Topics may include: decision tree learning, rule learning, neural networks, support vector machines, Bayesian learning, clustering, hidden Markov model learning, and/or deep learning. The material of this course has some overlap with that of Computer Science 241, but it is permissible to take both.

In the fall, this course will be fully accessible online and may also make use of in-person meetings.

Requisite: COSC 211. Fall semester.  Visiting Professor Spector.

If Overenrolled: priority to majors

Keywords

Online Only

Offerings

2020-21: Offered in Fall 2020
Other years: Offered in Spring 2017, Fall 2018, Fall 2020