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Building ML teams
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Classroom Contents
ML Teams and Project Management - FSDL 2022
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- 1 Why managing ML products is hard
- 2 Roles in ML teams: MLEs, MLRs, DSs
- 3 Hiring and getting hired in ML
- 4 Organizational archetypes: from ad hoc ML to ML-first
- 5 Building ML teams
- 6 Managing ML teams and products
- 7 How to manage ML projects better
- 8 "Managing up" in ML
- 9 ML PMs are well-positioned to educate the org
- 10 What is the "Agile for ML"?
- 11 Best practices for ML product design
- 12 Summary
