Practical MLOps: Operationalizing Machine Learning Models PDF

Practical MLOps: Operationalizing Machine Learning Models PDF
Practical MLOps O'reilly PDF
eBook: Practical MLOps: Operationalizing Machine Learning Models PDF by Noah Gift and Alfredo Deza

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Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful practical mlops o'reilly pdf takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models. 

Current and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This book gives you a head start. This eBook is curated from github and other premium computer books downloading websites. So, what are you waiting for? Download Practical MLOps o'reilly pdf for free from the below given link.

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Machine Learning Ebooks
September 28, 2021
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