Go to Main Content

Minerva

 

HELP | EXIT

Class Schedule Listing

 

Winter 2017
Nov 20, 2017
Transparent Image

Sections Found
Applied Machine Learning. - 17135 - COMP 551 - 001
Selected topics in machine learning and data mining, including clustering, neural networks, support vector machines, decision trees. Methods include feature selection and dimensionality reduction, error estimation and empirical validation, algorithm design and parallelization, and handling of large data sets. Emphasis on good methods and practices for deployment of real systems.

Prerequisite(s): MATH 323 or ECSE 205 or ECSE 305 or equivalent
Restriction(s): Not open to students who have taken COMP 598 when topic was "Applied Machine Learning"
Some background in Artificial Intelligence is recommended, e.g. COMP-424 or ECSE-526, but not required.

Associated Term: Winter 2017
Registration Dates: Apr 07, 2016 to Jan 17, 2017

Lecture Schedule Type
4.000 Credits
View Catalog Entry

Scheduled Meeting Times
Time Days Where Date Range Schedule Type Instructors
1:05 PM - 2:25 PM TR Arts Building W-120 Jan 04, 2017 - Apr 11, 2017 Lecture Joelle Pineau



Return to Previous
Transparent Image
Skip to top of page
Release: 8.4 / 1.28