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Spring Term 2022 Machine Learning - STAT 208
This course is cross listed.
Students must register for CMSC 208.
See CMSC 208 for course materials.
Students may submit a cross list request form to have the class listed on academic records as STAT 208.


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, In Person Delivery


Term

Spring Term 2022

Instructors

Abhishek Chakraborty

Course

STAT 208

Grade Mode

Standard

Title

MACHINE LEARNING (Q)

Final Exam

 

CRN

 

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, CMSC 208