Building Machine Learning Powered Applications (häftad)
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Format
E-bok
Filformat
PDF med LCP-kryptering (0.0 MB)
Om LCP-kryptering
PDF-böcker lämpar sig inte för läsning på små skärmar, t ex mobiler.
Nedladdning
Kan laddas ned under 24 månader, dock max 6 gånger.
Språk
Engelska
Antal sidor
260
Utgivningsdatum
2020-01-21
Förlag
O'Reilly Media
ISBN
9781492045083

Building Machine Learning Powered Applications E-bok

Going from Idea to Product

E-bok (PDF, LCP),  Engelska, 2020-01-21
629
Läs i Bokus Reader för iOS och Android
Finns även som
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, youll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managersincluding experienced practitioners and novices alikewill learn the tools, best practices, and challenges involved in building a real-world ML application step by step.Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies.This book will help you:Define your product goal and set up a machine learning problemBuild your first end-to-end pipeline quickly and acquire an initial datasetTrain and evaluate your ML models and address performance bottlenecksDeploy and monitor your models in a production environment

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