Course curriculum

    1. Introduction

    2. Imports and Dataset

    3. Matrix Factorization Model

    4. Distributed Training

    5. Fault Tolerance

    6. Inference

    7. Full Chapter Notebook

About this course

  • Free
  • 7 lessons
  • 0.5 hours of video content

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