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Spring Term 2022 Machine Learning - 3081 - CMSC 208
Registration for this term is over. Changes or corrections to registration now by petition only. Students should contact their academic advisor.
Approval of the instructor is now required for registration.


Prerequisites/Notes: CMSC 150, or CMSC 205, or CMSC 210, or consent of instructor

Catalog Description : An overview of techniques used to discover structural patterns and make predictions using complex datasets that are prevalent in today's world. The central machine learning tasks of classification, clustering, and regression will be explored, along with methods for training models and evaluating predictions. This course will be taught in a workshop format. Assignments will involve the use of statistical software.

Attributes: Quantitative Analy GER (01cr), BM Natural Science (01cr), Foundation/Gateway Course


Term

Spring Term 2022

Instructors

Abhishek Chakraborty

Course

CMSC 208

Grade Mode

Standard

Title

MACHINE LEARNING (Q)

Final Exam

Tuesday, Jun 07, 2022 08:00 a.m. - 10:30 a.m.

CRN

3081

Status

Active

Class Time

10:25 AM-12:10 PM TR BRIG 421

Start-End Date

Mar 28, 2022-Jun 08, 2022

Campus

Appleton Main Campus

Units

6

Cross Listed as

LING 208, STAT 208

Course materials View Book Information

 

Maximum

Number registered

Total Registered in Crosslisted Group

Number on waitlist

Seats available

Enrollment:

30

31

32

0

-2