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Practical Machine Learning on Databricks

You're reading from  Practical Machine Learning on Databricks

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781801812030
Pages 244 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Debu Sinha Debu Sinha
Profile icon Debu Sinha
LinkedIn
Debu is an experienced Data Science and Engineering leader with deep expertise in Software Engineering and Solutions Architecture. With over 10 years in the industry, Debu has a proven track record in designing scalable Software Applications, Big Data, and Machine Learning systems. As Lead ML Specialist on the Specialist Solutions Architect team at Databricks, Debu focuses on AI/ML use cases in the cloud and serves as an expert on LLMs, Machine Learning, and MLOps. With prior experience as a startup co-founder, Debu has demonstrated skills in team-building, scaling, and delivering impactful software solutions. An established thought leader, Debu has received multiple awards and regularly speaks at industry events.
See other products by Debu Sinha

Table of Contents (16) Chapters

Preface 1. Part 1: Introduction
2. Chapter 1: The ML Process and Its Challenges 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

Part 1: Introduction

This part mainly focuses on data science use cases, the life cycle of and personas involved in a data science project (data engineers, analysts, and scientists), and the challenges of ML development in organizations.

This section has the following chapters:

  • Chapter 1, The ML Process and Its Challenges
  • Chapter 2, Overview of ML on Databricks
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Authors (1)

Profile icon Debu Sinha
LinkedIn
Debu is an experienced Data Science and Engineering leader with deep expertise in Software Engineering and Solutions Architecture. With over 10 years in the industry, Debu has a proven track record in designing scalable Software Applications, Big Data, and Machine Learning systems. As Lead ML Specialist on the Specialist Solutions Architect team at Databricks, Debu focuses on AI/ML use cases in the cloud and serves as an expert on LLMs, Machine Learning, and MLOps. With prior experience as a startup co-founder, Debu has demonstrated skills in team-building, scaling, and delivering impactful software solutions. An established thought leader, Debu has received multiple awards and regularly speaks at industry events.
Read more
See other products by Debu Sinha

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