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Machine Learning Engineering  with Python - Second Edition

You're reading from  Machine Learning Engineering with Python - Second Edition

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781837631964
Pages 462 pages
Edition 2nd Edition
Languages
Author (1):
Andrew P. McMahon Andrew P. McMahon
Profile icon Andrew P. McMahon

Table of Contents (12) Chapters

Preface 1. Introduction to ML Engineering 2. The Machine Learning Development Process 3. From Model to Model Factory 4. Packaging Up 5. Deployment Patterns and Tools 6. Scaling Up 7. Deep Learning, Generative AI, and LLMOps 8. Building an Example ML Microservice 9. Building an Extract, Transform, Machine Learning Use Case 10. Other Books You May Enjoy
11. Index

Who this book is for

This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with ML components. It is also relevant to anyone who manages or wants to understand the production life cycle of these systems. The book assumes intermediate-level knowledge of Python and some basic exposure to the concepts of machine learning. Some basic knowledge of AWS and the use of Unix tools like bash or zsh will also be beneficial.

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