Building Machine Learning Powered Applications: Going from Idea to Product - Softcover

Ameisen, Emmanuel

 
9781492045113: Building Machine Learning Powered Applications: Going from Idea to Product
Softcover
ISBN 10: 149204511X ISBN 13: 9781492045113
Verlag: O'Reilly Media, 2020

Inhaltsangabe

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, youâ€Â(TM)ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managersâ€Â"including experienced practitioners and novices alikeâ€Â"will 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 problem
  • Build your first end-to-end pipeline quickly and acquire an initial dataset
  • Train and evaluate your ML models and address performance bottlenecks
  • Deploy and monitor your models in a production environment

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Über die Autorin bzw. den Autor

Emmanuel Ameisen has worked for years as a Data Scientist. He implemented and deployed predictive analytics and machine learning solutions for Local Motion and Zipcar. Recently, Emmanuel has led Insight Data Science's AI program where he oversaw more than a hundred machine learning projects. Emmanuel holds graduate degrees in artificial intelligence, computer engineering, and management from three of France's top schools.

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Verlag
O'Reilly Media
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
149204511X
ISBN 13 
9781492045113
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
257
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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