Mar 28, 2024  
2018-2019 Catalog and Handbook 
    
2018-2019 Catalog and Handbook [ARCHIVED CATALOG]

DATA 612 - Recommender Systems 3 Credits

Prerequisite: DATA 602, DATA 606, and DATA 607 or permission of the Academic Director.
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.