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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

Concepts

Machine Learning

Author (1):

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

Technical requirements

Throughout the book, all code examples will assume the use of Python 3.10.8 unless specified otherwise. Examples in this edition have been run on a 2022 Macbook Pro with an M2 Apple silicon chip, with Rosetta 2 installed to allow backward compatibility with Intel-based applications and packages. Most examples have also been tested on a Linux machine running Ubuntu 22.04 LTS. The required Python packages for each chapter are stored in conda environment .yml files in the appropriate chapter folder in the book’s Git repository. We will discuss package and environment management in detail later in the book. But in the meantime, assuming you have a GitHub account and have configured your environment to be able to pull and push from GitHub remote repositories, to get started you can clone the book repository from the command line:

git clone https://github.com/PacktPublishing/Machine-Learning-Engineering-with-Python-Second-Edition.git

Assuming you have...

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Authors (1)

Andrew P. McMahon

Andrew P. McMahon has spent years building high-impact ML products across a variety of industries. He is currently Head of MLOps for NatWest Group in the UK and has a PhD in theoretical condensed matter physics from Imperial College London. He is an active blogger, speaker, podcast guest, and leading voice in the MLOps community. He is co-host of the AI Right podcast and was named ‘Rising Star of the Year' at the 2022 British Data Awards and ‘Data Scientist of the Year' by the Data Science Foundation in 2019.

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