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Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls de Joyce Weiner

Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls: Synthesis Lectures on Computation and Analytics

Autor Joyce Weiner
en Limba Engleză Paperback – 18 dec 2020
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.
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Specificații

ISBN-13: 9783031005572
ISBN-10: 3031005570
Pagini: 65
Ilustrații: XI, 65 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.15 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Computation and Analytics

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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.

Descriere

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This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls.