Designing Machine Learning Systems Book Reviews
Designing Machine Learning Systems by Chip Huyen Book Summary
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 problemAutomating the process for continually developing, evaluating, deploying, and updating modelsDeveloping a monitoring system to quickly detect and address issues your models might encounter in productionArchitecting an ML platform that serves across use casesDeveloping responsible ML systems
Book Name | Designing Machine Learning Systems |
Genre | Computers & Internet |
Author | Chip Huyen |
Published | 17 May 2022, Tuesday |
Language | English |
E-Book Size | 11.62 MB |
Designing Machine Learning Systems (Chip Huyen) Book Reviews 2024
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Summary of Designing Machine Learning Systems by Chip Huyen
The Designing Machine Learning Systems book written by Chip Huyen was published on 17 May 2022, Tuesday in the Computers & Internet category. A total of 50 readers of the book gave the book 0 points out of 5.
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