Read Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Chip Huyen

4.9/5 (30048 ratings)

Description: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 systemsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. To get started finding Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 368

Format: PDF, EPUB & Kindle Edition

Publisher: O'Reilly

Release: 2022

ISBN: 1098107969

Description: 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 systemsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications. To get started finding Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

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