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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

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

Why subscribe?

15. Other Books You May Enjoy

Setting up a Databricks trial account

At the time of writing, Databricks is available on all the major cloud platforms, namely Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS).

Databricks provides an easy way to either create an account within the community edition or start a 14-day trial with all the enterprise features available in the workspace.

To fully leverage the code examples provided in this book and explore the enterprise features we’ll cover, I highly recommend taking advantage of the 14-day trial option. This trial will grant you access to all the necessary functionalities, ensuring a seamless experience throughout your learning journey.

Please go through this link to sign up for trial account: https://www.databricks.com/try-databricks?itm_data=PricingPage-Trial#account

On filling out the introductory form, you will be redirected to a page that will provide you with options to start with trial deployments on either of the three...

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Authors (1)

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.

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