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Spring Term 2023 Machine Learning - 3060 - CMSC 208
This course is cross listed with LING 208, STAT 208 (CRNs: 3061, 3062).
Please register for the course you want to appear on your transcript. You can also submit a Crosslist Request Form at any time.


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 2023

Instructors

Abhishek Chakraborty

Course

CMSC 208

Grade Mode

Standard

Title

MACHINE LEARNING (Q)

Final Exam

 

CRN

3060

Status

Active

Class Time

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

Start-End Date

Mar 27, 2023-Jun 07, 2023

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

17

25

0

5