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Course pages 2020–21

Principles of Machine Learning Systems

Slides for Lectures

  • 1: Class Administration -- [here]
  • 1: The ML Systems Landscape -- [here]
  • 2: Mapping ML to Hardware -- [here]
  • 3: Model Compression -- [here]
  • 4: Hardware Acceleration -- [here]
  • 5: Training -- Under the Hood [here]
  • 6: Distributed Training [here]

Suggested Reading Material

  • Lectures 1 through 6 -- see PDF:[here]

Material for Lab 1

  • Slides -- [here]
  • Colab Notebook -- [here]