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Utilizing machine studying for merchandise, companies, and important enterprise processes is kind of completely different from utilizing ML in a tutorial or analysis setting—particularly for current ML graduates and people shifting from analysis to a business setting. Whether or not you at present work to create services and products that use ML, or wish to sooner or later, this sensible ebook provides you a broad view of the whole discipline.
Authors Robert Crowe, Hannes Hapke, Emily Caveness, and Di Zhu show you how to determine subjects that you would be able to dive into deeper, together with reference supplies and tutorials that educate you the small print. You may be taught the state-of-the-art of machine studying engineering, together with a variety of subjects akin to modeling, deployment, and MLOps. You may be taught the fundamentals and superior facets to know the manufacturing ML lifecycle.
This ebook gives 4 in-depth sections that cowl all facets of machine studying engineering:
Knowledge: accumulating, labeling, validating, automation, and information preprocessing; information function engineering and choice; information journey and storage Modeling: excessive efficiency modeling; mannequin useful resource administration methods; mannequin evaluation and interoperability; neural structure search Deployment: mannequin serving patterns and infrastructure for ML fashions and LLMs; administration and supply; monitoring and logging Productionalizing: ML pipelines; classifying unstructured texts and pictures; genAI mannequin pipelines
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Writer : O’Reilly Media
Publication date : Dec 3 2024
Version : 1st
Language : English
Print size : 472 pages
ISBN-10 : 1098156013
ISBN-13 : 978-1098156015
Merchandise weight : 771 g
Dimensions : 17.78 x 2.54 x 23.5 cm
Finest Sellers Rank: #1,262,031 in Books (See High 100 in Books) #164 in Machine Principle #286 in Enterprise Intelligence Instruments #300 in AI Principle of Computing
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