Why AI/Data Science Projects Fail

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Sprache: Englisch

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Beschreibung

Recent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most projects are never deployed. This book addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid those pitfalls. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections.

Inhaltsverzeichnis

Preface.- Introduction and Background.- Project Phases and Common Project Pitfalls.- Define Phase.- Making the Business Case: Assigning Value to Your Project.- Acquisition and Exploration of Data Phase.- Model-Building Phase.- Interpret and Communicate Phase.- Deployment Phase.- Summary of the five Methods to Avoid Common Pitfalls.- References.- Author Biography.

Details

Fachbereich:	Allgemeines
Genre:	Wirtschaft
Rubrik:	Recht & Wirtschaft
Medium:	Taschenbuch
Originaltitel:	Why AI/Data Science Projects Fail
ISBN-13:	9783031005572
ISBN-10:	3031005570
Sprache:	Englisch
Herstellernummer:	978-3-031-00557-2
Autor:	Weiner, Joyce
Hersteller:	Springer Springer, Berlin Morgan & Claypool Springer International Publishing
Verantwortliche Person für die EU:	preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de
Abbildungen:	XI, 65 p.
Maße:	5 x 189 x 232 mm
Von/Mit:	Joyce Weiner
Erscheinungsdatum:	18.12.2020
Gewicht:	0,155 kg