Machine Learning
Durham
Engineering&Physical Sciences :: Computer Science
Online Course Delivery Method: Scheduled meeting time, Rotational Attendance, Online with some campus visits, EUNH
Credits: 4.0
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Term: Spring 2021 - Full Term (02/01/2021 - 05/11/2021)
Grade Mode: Letter Grading
Class Size:
30
CRN: 53977
CRN: 53977
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: MATH 539 or MATH 644, and Programming course or Permission of instructor.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Mutual Exclusion : MATH 738
Only listed campus in section: Durham, Manchester
Classes not allowed in section: Freshman, Sophomore
Instructors: STAFF
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 2/1/2021 | 5/11/2021 | MW | 11:10am - 12:30pm | KING N121 |
| 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/