Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
McMahon, Andrew P.
ISBN 10: 1801079250 ISBN 13: 9781801079259
Published by Packt Publishing, 2021
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Synopsis:
Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments
Key Features- Explore hyperparameter optimization and model management tools
- Learn object-oriented programming and functional programming in Python to build your own ML libraries and packages
- Explore key ML engineering patterns like microservices and the Extract Transform Machine Learn (ETML) pattern with use cases
Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book...
About the Author:
Andrew Peter (Andy) McMahonis a machine learning engineer and data scientist with experience of working in, and leading, successful analytics and software teams. His expertise centers on building production-grade ML systems that can deliver value at scale. He is currently ML Engineering Lead at NatWest Group and was previously Analytics Team Lead at Aggreko.
He has an undergraduate degree in theoretical physics from the University of Glasgow, as well as master's and Ph.D. degrees in condensed matter physics from Imperial College London. In 2019, Andy was named Data Scientist of the Year at the International Data Science Awards. He currently co-hosts the AI Right podcast, discussing hot topics in AI with other members of the Scottish tech scene.
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Title: Machine Learning Engineering with Python: ...
Publisher: Packt Publishing
Publication Date: 2021
Binding: Paperback
Condition: New
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Machine Learning Engineering with Python
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