Why AI/Data Science Projects Fail: How to Avoid Project Pitfalls: Synthesis Lectures on Computation and Analytics
Autor Joyce Weineren Limba Engleză Paperback – 18 dec 2020
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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
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.