Learn to build a music recommender system in Python using collaborative filtering and Alternating Least Squares. Understand music recommenders, how Spotify suggests music, and utilize the 'implicit' Python library. The course covers creating a user-item matrix, implementing collaborative filtering, and running artist recommendations. The teaching method includes practical demonstrations and code walkthroughs. This course is intended for Python developers interested in recommendation systems and music technology.
Build a Spotify-Like Music Recommender System in Python
Valerio Velardo - The Sound of AI via YouTube
Overview
Syllabus
Intro
Types of music recommendation
Spotify recommendation architecture
What are we building?
User-item matrix
Alternating least squares
Last.fm dataset
Package overview
Data loader routine
Artist retriever
Implicit - a collaborative filtering library
Recommender implementation
Running artist recommendations
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Taught by
Valerio Velardo - The Sound of AI
