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Classroom Contents
Combining Machine Learning and MLflow with Lakehouse Architecture - Data Brew Episode 5
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- 1 Intro
- 2 Introduction
- 3 How do you save energy
- 4 What tools did you start with
- 5 What were the implications of dealing with iot data
- 6 How has using Delta Lake helped accelerate your process
- 7 What type of frameworks are you using
- 8 Do you leverage Spark for distributed training
- 9 New use cases and features
- 10 Less intrusive monitoring
- 11 Customer sentiment
- 12 Managing ML models
- 13 Alerts monitoring
- 14 Prior alerts tracking
- 15 Performance tracking
