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Machine Learning Engineering with Python

You're reading from Machine Learning Engineering with Python Manage the lifecycle of machine learning models using MLOps with practical examples

Product type Paperback

Published in Aug 2023

Publisher Packt

ISBN-13 9781837631964

Length 462 pages

Edition 2nd Edition

Languages

Python

Tools

GitHub

Concepts

Machine Learning

Author (1):

Andrew P. McMahon

View More author details

Table of Contents (12) Chapters

Preface

1. Introduction to ML Engineering

2. The Machine Learning Development Process FREE CHAPTER

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

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Authors (1)

Andrew P. McMahon

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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