Crowe, Robert
Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines
- ISBN 13:
- 9781098156015
- author:
- Crowe, Robert
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2024
- Pages:
- 472
- Dimensions:
- 23.3 x 17.8 x 2.4 centimetres (0
- Genre:
- Computers, Artificial Intelligence, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Mastering machine learning for production systems requires a broad understanding of the field. This comprehensive guide covers all aspects of machine learning engineering, from data preparation to model deployment and productionalizing pipelines.
Authors Robert Crowe, Hannes Hapke, Emily Caveness, and Di Zhu provide in-depth coverage of topics such as modeling, deployment, and MLOps, including high-performance modeling, model resource management, and neural architecture search. You'll learn how to create efficient ML pipelines for automating data tasks, classifying unstructured texts and images, and more.
With four sections covering all stages of the machine learning lifecycle, this book is ideal for those working with ML in a commercial environment or looking to transition from research to industry. It's an essential resource for anyone seeking to understand the production ML lifecycle and create effective machine learning systems.
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