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[] ML Infrastructure Essentials
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Classroom Contents
Getting ML Applications Into Production - Expert Roundtable
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- 1 [] Introduction to Kevin Stumpf, Derek Salama, Eddie Esquivel, and Isaac Cameron
- 2 [] Challenges of traditional classical ML into production
- 3 [] Infrastructure cost
- 4 [] Bridging Business and Tech
- 5 [] ML Infrastructure Essentials
- 6 [] Integrated Batch and Stream
- 7 [] Scaling AI from Zero
- 8 [] Stacks red flags
- 9 [] Tecton: Features Quality Monitoring
- 10 [] Building Recommender System Tools
- 11 [] Quantify business value in ML
- 12 [] Wrap up
