Recommender Systems
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Overview
Subject area
DATA
Catalog Number
612
Course Title
Recommender Systems
Department(s)
Description
Recommender systems and related ranking applications—are widely regarded as one of the most widely adopted commercial implementations of data science. In this course, students will learn to build and evaluate different kinds of recommender systems, using both R or Python. Some of the course work will be done using Apache Spark. Program permission required for students who are missing any prerequisites.
Typically Offered
Spring
Academic Career
Graduate
Liberal Arts
No
Credits
Minimum Units
3
Maximum Units
3
Academic Progress Units
3
Repeat For Credit
No
Components
Name
Lecture
Hours
3
Requisites
032590