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mlmentorship

Book VI · Chapter 2

Recommendation models

Learn collaborative and feature-aware factorization methods.

Priority
Role-specific
Difficulty
Intermediate
Useful for
Ranking MLE, AS
Interview rounds
ML breadth, Recommendation design

Read first: Linear algebra and geometry

Chapter contents

3 entries · read in order
  1. 01
    Matrix factorization for recsys
    Concept
  2. 02
    Alternating least squares for collaborative filtering
    Concept
  3. 03
    Factorization machines
    Concept