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