Reccommendation engines drive much of our online decision-making. From Netflix to Youtube to Tik Tok, platforms utilize reccommendation engines to provide the most relevant content possible to users.
In this workshop, we will cover the basics of reccommendation engine design and development, and the algorithms that drive them. Take a deep dive into an important,and increasingly relevant field of data science!
Saturday Oct 17th, 6:30pm to 7:45pm (CDT)
Dr. James Caverlee is a Professor of Computer Science and Engineering at Texas A & M University. Prior to teaching, Dr. Caverlee recieved a Ph.D. in computer science from Georgia Tech University, and an M.S. in Computer Science from Stanford
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