Combining Machine Learning and MLflow with Lakehouse Architecture - Data Brew Episode 5

Combining Machine Learning and MLflow with Lakehouse Architecture - Data Brew Episode 5

Databricks via YouTube Direct link

How do you save energy

3 of 15

3 of 15

How do you save energy

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Combining Machine Learning and MLflow with Lakehouse Architecture - Data Brew Episode 5

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

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