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Spring Term 2020 Machine Learning - 3969 - LING 208
Registration for this term is over. Changes or corrections to registration now by petition only. Students should contact their academic advisor.
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. PREREQUISITES: CMSC 150, or CMSC 205, or CMSC 210, or consent of instructor

Attributes: Cross-Listed Course, GER Quantitative Analysis, 200-399 Foundation/Gateway Crs


Term

Spring Term 2020

Instructors

Abhishek Chakraborty

Course

LING 208

Grade Mode

Standard

Title

MACHINE LEARNING (Q)

Final Exam

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

CRN

3969

Status

Active

Class Time

09:00 AM-10:50 AM TR BRIG 421

Start-End Date

Apr 06, 2020-Jun 10, 2020

Campus

Appleton Main Campus

Units

6

Cross Listed as

CMSC 208, STAT 208

Course materials View Book Information

 

Maximum

Number registered

Total Registered in Crosslisted Group

Number on waitlist

Seats available

Enrollment:

30

0

33

0

-3