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Classroom Contents
State of the Industry - Machine Learning Platforms and MLOps
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- 1 Intro
- 2 MLOPS VIRTUAL EVENT
- 3 A Common Story
- 4 Even After Deploying, Operating ML is Complex!
- 5 Why is ML Hard to Operationalize?
- 6 Response: ML Platforms
- 7 Common Components in an ML Platform
- 8 Our Approach at Databricks
- 9 End-to-End Data Science and ML on databricks
- 10 Databricks Notebooks Provide a collaborative environment for Unified Data Analytics
- 11 miflow Integration with Databricks Notebooks
- 12 A for Data Science and ML
- 13 mlflow Integration with Delta
- 14 Machine Learning Runtime
- 15 mlflow Integration with ML Runtime
- 16 mlflow Model Deployment
