Designing Machine Learning Systems by Chip Huyen

Designing Machine Learning Systems by Chip Huyen

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. This book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems

SKU	Unavailable
ISBN 13	9781098107963
ISBN 10	1098107969
Title	Designing Machine Learning Systems
Author	Chip Huyen
Condition	Unavailable
Binding Type	Paperback
Publisher	O'Reilly Media
Year published	2022-05-31
Number of pages	360
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable