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Spring Term 2021 Machine Learning - 4061 - CMSC 208
Registration for this term is over. Changes or corrections to registration now by petition only. Students should contact their academic advisor.
Classes have begun. 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, Remote Synchronous Delivery


Term

Spring Term 2021

Instructors

Abhishek Chakraborty

Course

CMSC 208

Grade Mode

Standard

Title

MACHINE LEARNING (Q)

Final Exam

Tuesday, Jun 08, 2021 08:00 a.m. - 10:30 a.m.

CRN

4061

Status

Active

Class Time

12:30-02:20 TR

Start-End Date

Mar 29, 2021-Jun 09, 2021

Campus

Appleton Main Campus

Units

6

Cross Listed as

LING 208, STAT 208

Course materials View Book Information

 

Maximum

Number registered

Number on waitlist

Seats available

Enrollment:

30

15

0

15