Machine Learning
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Overview
Subject area
MTH
Catalog Number
513
Course Title
Machine Learning
Department(s)
Description
4 Credits: 4 Hours. Hands-on introduction to techniques of contemporary machine learning and high performance statistical learning. Topics include basic tradeoffs and language of machine learning (bias/variance, supervised/unsupervised, online/batch, cross-validation), algorithms for machine learning (classification, regression, clustering), feature engineering and the data analysis pipeline. Prerequisite: MTH 233 and (MTH 214 or CSC 126 or ECO323 or MGT324).
Typically Offered
Fall, Spring
Academic Career
Undergraduate
Liberal Arts
Yes
Course Attributes
EXPR - EXPR (Experimental)
Credits
Minimum Units
4
Maximum Units
4
Academic Progress Units
4
Repeat For Credit
No
Components
Name
Lecture
Hours
4