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Data science vs. traditional software
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Classroom Contents
Keys to Building Machine Learning Systems
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- 1 Intro
- 2 What is machine learning?
- 3 AI adoption in the enterprise 2020
- 4 The fundamental problem in most organizations
- 5 Data science vs. traditional software
- 6 ML systems development
- 7 Unify data science & engineering teams
- 8 Use software best practices
- 9 Identify model success criteria metrics
- 10 Solve a simple problem first
- 11 Automate end-to-end on day 1
- 12 Ongoing refactoring with tests
- 13 Keys to building ML systems summary
