thank you to unDraw for the above illustration
This is where I post my resources for recommender system. It may be messy at this moment. ongoing updates.
Courses:
Google: ML Recommenders Course for beginners (FREE):
Udemy: ML Recommenders with Python (Personal Plan):
Articles:
Matrix Factorization:
Embeddings:
ML Glossary (RecSys):
Architecture:
Resources:
System Design:
Follow-along Projects for beginners:
TensorFlow Recommenders (TRFS):
start with quickstart, and then retrieval, and then ranking
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