Practical MLOps: Operationalizing Machine Learning Models by Noah Gift (English)

Description: Practical MLOps by Noah Gift, Alfredo Deza MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 guide 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 youre trying to crack. This book gives you a head start.Youll discover how to:Apply DevOps best practices to machine learningBuild production machine learning systems and maintain themMonitor, instrument, load-test, and operationalize machine learning systemsChoose the correct MLOps tools for a given machine learning taskRun machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware Author Biography Noah Gift is the founder of Pragmatic A.I. Labs. He lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, the Graduate Data Science program at UC Berkeley, the UC Davis Graduate School of Management MSBA program, UNC Charlotte Data Science Initiative, and University of Tennessee (as part of the Tennessee Digital Jobs Factory). He teaches and designs graduate machine learning, MLOps, AI, and data science courses, and consulting on machine learning and cloud architecture for students and faculty. As a former CTO, individual contributor, and consultant he has over 20 years experience shipping revenue-generating products in many industries including film, games, and SaaS. Alfredo Deza is a passionate software engineer, speaker, author, and former Olympic athlete with almost two decades of DevOps and software engineering experience. He currently teaches Machine Learning Engineering and gives worldwide lectures about software development, personal development, and professional sports. Alfredo has written several books about DevOps and Python, and continues to share his knowledge about resilient infrastructure, testing, and robust development practices in courses, books, and presentations. Details ISBN1098103017 Author Alfredo Deza Pages 450 Language English Year 2021 ISBN-10 1098103017 ISBN-13 9781098103019 Format Paperback Audience Professional and Scholarly Short Title Practical MLOps Subtitle Operationalizing Machine Learning Models Place of Publication Sebastopol Country of Publication United States AU Release Date 2021-09-30 NZ Release Date 2021-09-30 US Release Date 2021-09-30 Publication Date 2021-09-30 UK Release Date 2021-09-30 Imprint OReilly Media Publisher OReilly Media DEWEY 006.31 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:133343618;

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