Huyen, Chip
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
- ISBN 13:
- 9781098107963
- author:
- Huyen, Chip
- format:
- Paperback / softback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2022
- Pages:
- 360
- Dimensions:
- 23.3 x 17.8 centimetres (0.44 kg
- Genre:
- Computers, Enterprise Applications, Business Intelligence Tools,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Designing Machine Learning Systems: A Framework for Production-ready Applications Developing machine learning systems is often a one-off project, but in reality, these systems need to be designed to be reliable, scalable, and iterative. This book provides a framework for creating real-world ML systems that can learn from new data, improve on past mistakes, and adapt to changing requirements and environments. You'll learn how to design and deploy ML systems that meet the needs of your business, including project scoping, data management, model development, and infrastructure. You'll also discover how to select, develop, debug, and evaluate ML models that are best suited for your tasks, and how to deploy different types of ML systems for different hardware. By the end of this book, you'll understand the human side of ML, including how to integrate ML into business, user experience, and team structure.
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