Managing Models Using MLflow on Databricks
Track, productionize, serve and customize models with MLflow projects on Databricks.
Databricks is a cloud-native platform for large-scale data processing, machine learning, and analytics. It is built on the Data Lakehouse architecture, which combines the best of data lakes and data warehouses.
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What's inside
6 sections- 1 Table of Contents
- 2 Course Overview
- 3 Model Tracking with MLflow
- 4 Productionizing and Serving Models
- 5 Custom Models and MLflow Projects
- 6 Summary and Additional Resources
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