CS 850 (01R) - Machine Learning

Machine Learning

Durham   Engineering&Physical Sciences :: Computer Science
Course Delivery Method: Scheduled meeting time, Remote Section, Online (no campus visits), EUNH
Credits: 3.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:   4  
CRN: 56975
An introduction to fundamental concepts and common methods in machine learning. In addition to theoretical topics, the course involves hands-on experience in making predictions using synthetic and real-world datasets. Prereq: Statistics, Programming or permission of instructor.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Marek Petrik

Times & Locations

Start Date End Date Days Time Location
2/1/2021 5/11/2021 MW 11:10am - 12:30pm ONLINE
2/1/2021 5/11/2021 F 1:10pm - 2:00pm ONLINE

Booklist

An Introduction to Statistical Learning with Applications in R Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani http://faculty.marshall.usc.edu/gareth-james/ISL/