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Why AI/Data Science Projects Fail: Synthesis Lectures on Computation and Analytics

Autor Joyce Weiner
en Limba Engleză Paperback – 30 iul 2025
This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls.
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Specificații

ISBN-13: 9783031908699
ISBN-10: 3031908694
Pagini: 84
Dimensiuni: 168 x 240 x 6 mm
Greutate: 0.16 kg
Ediția:Second Edition 2026
Editura: Springer
Seria Synthesis Lectures on Computation and Analytics


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.