Häftad, Engelska, 2025
Why AI/Data Science Projects Fail
How to Avoid Project Pitfalls
Av Joyce Weiner
Del i serien Synthesis Lectures on Computation and Analytics
329 kr
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Beskrivning
This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls. Current statistics show that 87% of AI and Big Data projects fail by never reaching deployment, making this book an essential resource for data science and AI practitioners, as well as managers. The author illustrates the methods and tools by including real examples from her experience building and deploying data science and AI projects. This new edition builds upon the original book with revisions, updates and features a new chapter on Generative AI.
Produktinformation
- Utgivningsdatum: 2025-07-30
- Mått: 168 x 240 x 8 mm
- Vikt: 170 g
- Format: Häftad
- Språk: Engelska
- Serie: Synthesis Lectures on Computation and Analytics
- Antal sidor: 71
- Upplaga: 2
- Förlag: Springer International Publishing AG
- ISBN: 9783031908699
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Mer om författaren
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.
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