Why AI/Data Science Projects Fail - Joyce Weiner

Why AI/Data Science Projects Fail

How to Avoid Project Pitfalls

(Autor)

Buch | Softcover
XI, 65 Seiten
2020
Springer International Publishing (Verlag)
978-3-031-00557-2 (ISBN)
32,09 inkl. MwSt
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.

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.

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.

Erscheinungsdatum
Reihe/Serie Synthesis Lectures on Computation and Analytics
Zusatzinfo XI, 65 p.
Verlagsort Cham
Sprache englisch
Original-Titel Why AI/Data Science Projects Fail
Maße 191 x 235 mm
Gewicht 171 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management
ISBN-10 3-031-00557-0 / 3031005570
ISBN-13 978-3-031-00557-2 / 9783031005572
Zustand Neuware
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