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[] The Software Engineering for Data Scientists book
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Classroom Contents
Why Data Scientists Should Learn Software Engineering Principles
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- 1 [] Catherine's preferred coffee
- 2 [] Takeaways
- 3 [] Meeting magic: Embracing serenity
- 4 [] The Software Engineering for Data Scientists book
- 5 [] Exploring ideas rapidly
- 6 [] Bridging Data Science gaps
- 7 [] Data poisoning concerns
- 8 [] Transitioning from a data scientist to a machine learning engineer
- 9 [] Rapid Prototyping vs Thorough Development
- 10 [] Data scientists take ownership
- 11 [] Data scientists' role balance
- 12 [] Understanding system design process
- 13 [] Data scientists and Kubernetes
- 14 [41:33 - ] LatticeFlow AI Ad
- 15 [] The Future of Data Science
- 16 [] Data scientists analyzing models
- 17 [] Tools gaps in prompt tracking
- 18 [] Learnings from writing the book
