ISBN: 9781098107963 - designing machine learning systems: an iterative process for production-ready applications (20 Ergebnisse)

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. 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.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Zustand: New. pp. 360.

Zustand: New. In English.

Paperback. Zustand: Brand New. 350 pages. 9.19x7.00x0.80 inches. In Stock.

Paperback. Zustand: Brand New. 350 pages. 9.19x7.00x0.80 inches. In Stock.

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Zustand: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware - 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. …

Zustand: New. This book provides a framework for designing real-world ML systems that are quick to deploy, reliable, scalable, and iterative. You ll learn everything from project scoping, data management, model development, deployment, and infrastructure to team structur.

paperback. Zustand: New.

paperback. Zustand: Sehr gut. 386 Seiten; 9781098107963.2 Gewicht in Gramm: 1.

Taschenbuch. Zustand: Neu. Designing Machine Learning Systems | An Iterative Process for Production-Ready Applications | Chip Huyen | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | O'Reilly Media | EAN 9781098107963 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Neuware -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 systemsLibri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch. …

Taschenbuch. Zustand: Neu. Neuware -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 Englisch. …

Zustand: gut. 2022. Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications In englischer Sprache. pages.