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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

Product type Paperback

Published in Nov 2023

Publisher Packt

ISBN-13 9781801812030

Length 244 pages

Edition 1st Edition

Languages

Python

Tools

MLOps

Concepts

Data Science

Author (1):

Debu Sinha

View More author details

Table of Contents (16) Chapters

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

Why subscribe?

15. Other Books You May Enjoy

Utilizing the Feature Store

In the last chapter, we briefly touched upon what a feature store is and how Databricks Feature Store is unique in its own way.

This chapter will take a more hands-on approach and utilize Databricks Feature Store to register our first feature table and discuss concepts related to Databricks Feature Store.

We will be covering the following topics:

Diving into feature stores and the problems they solve
Discovering feature stores on the Databricks platform
Registering your first feature table in Databricks Feature Store

The rest of the chapter is locked

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Authors (1)

Debu Sinha

Debu Sinha

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

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