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Ajouter au panierpaperback. Etat : Good. Book is slightly bowing/bending. In otherwise great condition with minimal/no other wear, crisp & clean interiors showing unmarked text, and firm binding of the text block. A good reading copy!
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Edité par Springer International Publishing AG, CH, 2025
ISBN 10 : 3031908694 ISBN 13 : 9783031908699
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Ajouter au panierPaperback. Etat : New. Second Edition 2026. 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.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Springer-Nature New York Inc, 2025
ISBN 10 : 3031908694 ISBN 13 : 9783031908699
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Ajouter au panierPaperback. Etat : Brand New. 2nd edition. 100 pages. 9.44x6.61x0.20 inches. In Stock.
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Ajouter au panierTaschenbuch. Etat : Neu. Why AI/Data Science Projects Fail | How to Avoid Project Pitfalls | Joyce Weiner | Taschenbuch | Synthesis Lectures on Computation and Analytics | x | Englisch | 2025 | Springer | EAN 9783031908699 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Langue: anglais
Edité par Springer International Publishing AG, CH, 2025
ISBN 10 : 3031908694 ISBN 13 : 9783031908699
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Ajouter au panierPaperback. Etat : New. Second Edition 2026.
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Ajouter au panierEtat : Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Langue: anglais
Edité par Springer International Publishing AG Jul 2025, 2025
ISBN 10 : 3031908694 ISBN 13 : 9783031908699
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 71 pp. Englisch.
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Ajouter au panierEtat : New. PRINT ON DEMAND.
Langue: anglais
Edité par Springer, Springer Nature Switzerland Jul 2025, 2025
ISBN 10 : 3031908694 ISBN 13 : 9783031908699
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 84 pp. Englisch.