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Classroom Contents
Experiment Management for Machine Learning
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- 1 Introduction
- 2 About me
- 3 Agenda
- 4 Machine Learning Pipeline
- 5 Machine Learning as a Human
- 6 Record Experiments
- 7 Tracking Experiments
- 8 Reproducibility
- 9 Large File Storage
- 10 Issues with File Storage
- 11 Common Problems
- 12 Reproducible
- 13 Machine Learning vs Software Engineering
- 14 Machine Learning vs Feature Engineering
- 15 Write Robust Reproducible Code
- 16 Make Code Modular
- 17 Automated Testing
- 18 Python Tests
- 19 Virtual Environment
- 20 Documentation
- 21 Whats next
- 22 Experiment Management
- 23 incumbents
- 24 if I go
- 25 best practices
