Practical MLOps

Operationalizing Machine Learning Models

Practical MLOps
Noah Gift, Alfredo Deza
RRP:
NZ$ 162.99
Our Price:
NZ$ 138.54
Paperback
h232 x 178mm - 450pg
30 Sep 2021 US
International import eta 7-19 days
9781098103019
Out Of Stock
Currently no stock in-store, stock is sourced to your order
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 you' re trying to crack. This book gives you a head start. You' ll 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
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.
Status: No local stock, title imported to order
ISBN-13: 9781098103019
Published: 30 Sep 2021
Published In: United States
Imprint: O'Reilly Media Inc (USA)
Publisher: O'Reilly Media Inc (USA)
Format: Paperback
Height: 232mm
Width: 178mm
Pages: 450

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