E-Book, Englisch, 65 Seiten
Weiner Why AI/Data Science Projects Fail
1. Auflage 2022
ISBN: 978-3-031-01685-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
How to Avoid Project Pitfalls
E-Book, Englisch, 65 Seiten
Reihe: Synthesis Lectures on Computation and Analytics
ISBN: 978-3-031-01685-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
