Gift, Noah
Practical Mlops: Operationalizing Machine Learning Models
- ISBN 13:
- 9781098103019
- author:
- Gift, Noah
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2021
- Pages:
- 458
- 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
Operationalizing machine learning models is a fundamental challenge in machine learning, and MLOps offers a proven approach to solving it. This book provides a comprehensive guide to putting MLOps into practice, covering the principles and tools needed to build and maintain production machine learning systems.
Learn how to apply DevOps best practices to machine learning, choose the correct MLOps tools for a given task, and build systems that can run on a variety of platforms and devices, including mobile phones and specialized hardware. With this book, you'll gain a head start on delivering machine learning systems that work, allowing you to focus on the business problems you're trying to solve.
Whether you're a current machine learning engineer or just starting out, this book provides a solid foundation in MLOps tools and methods, including AutoML and monitoring and logging. By the end of the book, you'll be able to build and maintain production machine learning systems, and start delivering results faster.
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