Introduction to Recommender Systems

Agenda

We introduce you to the big world of recommender systems. In a nutshell, a recommender system is an automated system that filters some entities. These entities could be products, people, ads, movies, or songs. It uses user preference to predict items the system thinks the user will like.
We cover recommender systems in-depth in our Data Science Bootcamp.

What you’ll learn

  • What is a recommender system, why they are important, and how they work?
  • Why big companies like Amazon, Netflix, Pandora, and YouTube rely on them to serve you the most relevant content?
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Blair Heckel

Blair holds a Bachelors degree in Marketing from Washington State University and has a background of leading data-driven marketing campaigns.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!

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