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Practical Machine Learning on Databricks

You're reading from   Practical Machine Learning on Databricks Seamlessly transition ML models and MLOps on Databricks

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781801812030
Length 244 pages
Edition 1st Edition
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Author (1):
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Debu Sinha Debu Sinha
Author Profile Icon Debu Sinha
Debu Sinha
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Introduction
2. Chapter 1: The ML Process and Its Challenges FREE CHAPTER 3. Chapter 2: Overview of ML on Databricks 4. Part 2: ML Pipeline Components and Implementation
5. Chapter 3: Utilizing the Feature Store 6. Chapter 4: Understanding MLflow Components on Databricks 7. Chapter 5: Create a Baseline Model Using Databricks AutoML 8. Part 3: ML Governance and Deployment
9. Chapter 6: Model Versioning and Webhooks 10. Chapter 7: Model Deployment Approaches 11. Chapter 8: Automating ML Workflows Using Databricks Jobs 12. Chapter 9: Model Drift Detection and Retraining 13. Chapter 10: Using CI/CD to Automate Model Retraining and Redeployment 14. Index 15. Other Books You May Enjoy

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