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00:00 Introduction and Overview
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Classroom Contents
Human-in-the-Loop MLOps - Boost Model Performance by 40%
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- 1 00:00 Introduction and Overview
- 2 01:02 The Extremes of ML Ops
- 3 02:08 The Third Way: Humans with Machines
- 4 02:35 Case Study: FinTech Fraud Detection
- 5 03:36 Pattern 1: Tiered Autonomy
- 6 05:19 Pattern 2: Observable ML Models
- 7 06:58 Pattern 3: Human in the Loop Pipeline
- 8 08:57 Pattern 4: Scalable Oversight
- 9 10:09 Measuring Success in Human-in-the-Loop Systems
- 10 11:20 Conclusion: The Future of ML Ops