Software Engineer in the Machine Learning World

Software Engineer in the Machine Learning World

code::dive conference via YouTube Direct link

Intro

1 of 16

1 of 16

Intro

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Classroom Contents

Software Engineer in the Machine Learning World

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  1. 1 Intro
  2. 2 "Starter" problem: biomarkers identification
  3. 3 Let's start from something simpler
  4. 4 Decision trees: Shape.
  5. 5 Decision trees What questions?
  6. 6 I've got a prototype! Testing?
  7. 7 Original data collection
  8. 8 The Pipeline: summary
  9. 9 Two components of a good model
  10. 10 The Black Box
  11. 11 What could go wrong?
  12. 12 Generalization
  13. 13 Unseen data
  14. 14 Which algorithm is better?
  15. 15 So how do I choose?
  16. 16 This sounds like a lot of work!

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