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Spring Term 2021 Machine Learning - LING 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 LING 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), Foundation/Gateway Course


Term

Spring Term 2021

Instructors

Abhishek Chakraborty

Course

LING 208

Grade Mode

Standard

Title

MACHINE LEARNING (Q)

Final Exam

 

CRN

 

Status

Active

Class Time

09:00-10:50 TR

Start-End Date

Mar 29, 2021-Jun 09, 2021

Campus

Appleton Main Campus

Units

6

Cross Listed as

CMSC 208, STAT 208