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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

Part 1: Introduction

Chapter 1: The ML Process and Its Challenges

Chapter 2: Overview of ML on Databricks

Part 2: ML Pipeline Components and Implementation

Chapter 3: Utilizing the Feature Store

Chapter 4: Understanding MLflow Components on Databricks

Chapter 5: Create a Baseline Model Using Databricks AutoML

Part 3: ML Governance and Deployment

Chapter 6: Model Versioning and Webhooks

Chapter 7: Model Deployment Approaches

Chapter 8: Automating ML Workflows Using Databricks Jobs

Chapter 9: Model Drift Detection and Retraining

Chapter 10: Using CI/CD to Automate Model Retraining and Redeployment

Index

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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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