Explore the world of recommendation systems in this comprehensive workshop from the Toronto Machine Learning Series. Learn how popular platforms like Spotify, Amazon, and Netflix generate personalized recommendations for their users. Dive into different types of recommendation systems and their implementations, focusing on collaborative filtering and content-based filtering techniques. Build a MovieLens recommender system from scratch using Python, guided by Jill Cates, a Data Scientist at Shopify. Access workshop materials on GitHub to follow along and gain hands-on experience in creating your own recommendation engine. Discover the key principles and techniques behind effective recommendation systems that power some of the most popular digital platforms today.
Overview
Syllabus
Building a MovieLens Recommender System
Taught by
Toronto Machine Learning Series (TMLS)
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