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MLOps Engineering at Scale

Autor Carl Osipov
en Limba Engleză Paperback – 15 mar 2022
Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system's infrastructure. Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system's infrastructure. Cloud Native Machine Learning is a guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers. Following a real-world use case for calculating taxi fares, you'll learn how to get a serverless ML pipeline up and running using AWS services. Clear and detailed tutorials show you how to develop reliable, flexible, and scalable machine learning systems without time-consuming management tasks or the costly overheads of physical hardware. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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Specificații

ISBN-13: 9781617297762
ISBN-10: 1617297763
Pagini: 250
Dimensiuni: 234 x 187 x 24 mm
Greutate: 0.57 kg
Editura: Manning Publications