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Getting your fashions into manufacturing is the basic problem of machine studying. MLOps presents a set of confirmed rules aimed toward fixing this downside in a dependable and automatic method. This insightful information takes you thru what MLOps is (and the way it differs from DevOps) and exhibits you how one can put it into apply to operationalize your machine studying fashions.
Present and aspiring machine studying engineers–or anybody accustomed to information science and Python–will construct a basis in MLOps instruments and strategies (together with AutoML and monitoring and logging), then learn to implement them in AWS, Microsoft Azure, and Google Cloud. The sooner you ship a machine studying system that works, the sooner you’ll be able to deal with the enterprise issues you are making an attempt to crack. This guide provides you a head begin.
You will uncover how one can:
Apply DevOps finest practices to machine studying Construct manufacturing machine studying techniques and preserve them Monitor, instrument, load-test, and operationalize machine studying techniques Select the proper MLOps instruments for a given machine studying job Run machine studying fashions on quite a lot of platforms and gadgets, together with cell phones and specialised {hardware}
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Writer : O’Reilly Media
Publication date : Oct. 19 2021
Version : 1st
Language : English
Print size : 458 pages
ISBN-10 : 1098103017
ISBN-13 : 978-1098103019
Merchandise weight : 1.05 kg
Dimensions : 17.15 x 2.54 x 22.23 cm
Finest Sellers Rank: #431,976 in Books (See Prime 100 in Books) #77 in Machine Idea #137 in AI Idea of Computing #142 in Enterprise Intelligence Instruments
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