fun-rec
Aimed at those with a background in machine learning, this resource outlines key aspects of recommendation systems including their overview, foundational algorithms, practical implementations, and interview preparations. It provides a comprehensive pathway from fundamental learning to hands-on practice and interview readiness. Detailed content covers essential algorithms, practical system building, and strategic insights. Connect with the community for continuous discussion and shared resources.
