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Classroom Contents
Agile Experiments in Machine Learning with F#
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- 1 Intro
- 2 About me
- 3 Code on GitHub
- 4 Kaggle Home Depot
- 5 What we want
- 6 What we really mean
- 7 Overall process
- 8 ML: experiments in code
- 9 Learning with Algorithms
- 10 What are the problems?
- 11 Core model
- 12 Catalog of Features
- 13 Did it work?
- 14 Dataset normalization
- 15 Pre-processing pipeline
- 16 Lesson learnt
- 17 Tension
- 18 General
