Why Ai/Data Science Projects Fail: How to Avoid Project Pitfalls - Couverture souple

Weiner, Joyce

Couverture souple

ISBN 10 : 3031005570 ISBN 13 : 9783031005572

Editeur : Springer International Publishing AG, 2020

Synopsis

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.

A propos du livre

À propos de l?auteur

Joyce Weiner is a Principal Engineer at Intel Corporation. Her area of technical expertise is data science and using data to drive efficiency. Joyce is a black belt in Lean Six Sigma. She has a B.S. in Physics from Rensselaer Polytechnic Institute, and an M.S. in Optical Sciences from the University of Arizona. She lives with her husband outside Phoenix, Arizona.

Détails de l'édition

• Éditeur: Springer International Publishing AG
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 3031005570
• ISBN 13: 9783031005572
• Reliure: Broché
• Nombre de pages: 65
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne