Recommendation systems

Machine learning training


Python syntax
Solid knowledge of basic machine learning ideas
(validation methods, gradient descent algorithm, preventing overfitting)
Machine learning experience

Skills your team will gain

An understanding of popular types of recommendation systems and state-of-the-art results.

Practical skills for building high-quality recommendation systems.


1 day


Part 1


  • Collaborative filtering, a content-based approach
  • Low-rank matrix factorization

Part 2

Case study in PyTorch

  • User-based k-Nearest Neighbors
  • SVD
  • SGD-based efficient embedding

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    •, Inc.
    • 2100 Geng Road, Suite 210
    • Palo Alto, CA 94303
    • United States of America
    • Sp. z o.o.
    • al. Jerozolimskie 162A
    • 02-342 Warsaw
    • Poland
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