Machine Learning Systems
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Language: en
Pages: 339
Pages: 339
Type: BOOK - Published: 2018-05-21 - Publisher: Simon and Schuster
Summary Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learni
Language: en
Pages: 245
Pages: 245
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature
This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commerci
Language: en
Pages: 431
Pages: 431
Type: BOOK - Published: 2013-01-01 - Publisher: Packt Publishing Ltd
This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technolo
Language: en
Pages: 223
Pages: 223
Type: BOOK - Published: 2019-05-17 - Publisher: Springer
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing sys
Language: en
Pages: 175
Pages: 175
Type: BOOK - Published: 2019-02-25 - Publisher: Morgan & Claypool Publishers
Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing thes