Scaling Python for Machine Learning - Beyond Data Parallelism

Scaling Python for Machine Learning - Beyond Data Parallelism

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Intro

1 of 14

1 of 14

Intro

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Scaling Python for Machine Learning - Beyond Data Parallelism

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  1. 1 Intro
  2. 2 Probable relevant biases
  3. 3 Quick refresher on data parallelism
  4. 4 What do distributed tasks look like?
  5. 5 Dask distributed tasks
  6. 6 Ray distributed tasks
  7. 7 How are they different & same?
  8. 8 Task fault tolerance
  9. 9 Does Spark have tasks & actors?
  10. 10 Ray Diagram
  11. 11 Ray actor fault tolerance
  12. 12 What's up with Ray & Netflix?
  13. 13 Dask actor fault tolerance
  14. 14 Outro

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