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Spring Term 2020 Machine Learning - 3157 - 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: One course in mathematics or computer science, or BIOL 170, 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 2020

Instructors

Abhishek Chakraborty

Course

CMSC 208

Grade Mode

Standard

Title

MACHINE LEARNING (Q)

Final Exam

Monday, Jun 08, 2020 11:30 a.m. - 02:00 p.m.

CRN

3157

Status

Active

Class Time

09:00-10:50 TR BRIG 421

Start-End Date

Apr 06, 2020-Jun 10, 2020

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

33

0

0