Extending Spark Machine Learning - Beyond Linear Regression

Extending Spark Machine Learning - Beyond Linear Regression

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Introduction

3 of 30

3 of 30

Introduction

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Classroom Contents

Extending Spark Machine Learning - Beyond Linear Regression

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  1. 1 Intro
  2. 2 Spark MLA
  3. 3 Introduction
  4. 4 The Good Stuff
  5. 5 Spark Datasets
  6. 6 Spark ML Adventure
  7. 7 Building a Transformer
  8. 8 Transform Schema
  9. 9 Word Count
  10. 10 Verify Input Schema
  11. 11 Verify Transform Schema
  12. 12 Pipeline Stage
  13. 13 Configurable Parameters
  14. 14 Crossvalidation
  15. 15 Example
  16. 16 Input columns
  17. 17 Classifier
  18. 18 Naive classifier
  19. 19 Vector assembler
  20. 20 Dataframe transformations
  21. 21 More code
  22. 22 Basetrade cadets
  23. 23 Lunch
  24. 24 Putting it in an ML pipeline
  25. 25 Publishing your ML model
  26. 26 Spark example repo
  27. 27 Spark books
  28. 28 Buy this book
  29. 29 Data and Comps
  30. 30 Questions

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