Designing Machine Learning Systems


Designing Machine Learning Systems
Authors: Chip Huyen
Year: 2022
Publisher: O’Reilly Media, Inc.
Language: english
ISBN 13: 9781098107956
ISBN 10: 1098107950
Categories: Computers, Algorithms and Data Structures
Pages: 206

Availability: 5000 in stock

SKU: 9781098107956 Categories: ,

Designing Machine Learning Systems 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 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 Categories:
Computers Algorithms and Data Structures
O’Reilly Media, Inc.
ISBN 10:
ISBN 13:
10.05 MB


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Designing Machine Learning Systems

Availability: 5000 in stock