The Handbook of Data Science and AI
Papp, Stefan; Toth, Zoltan; Munro, Katherine; Weidinger, Wolfgang; Nikolić, Danko; Antosova Vesela, Barbora; Bruckmüller, Karin; Cadonna, Annalisa; Eder, Jana; Gorzala, Jeannette; Hahn, Gerald A.; Langs, Georg; Licandro, Roxane; Mata, Christian; McIntyre, Sean; Meir-Huber, Mario; Móra, György; Pasieska, Manuel; Rugli, Victoria; Wazir, Rania; Zauner, Günther
Language: English
Published by Hanser Publications, 2026
- Hardcover
- New

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- Title
- The Handbook of Data Science and AI
- Author
- Papp, Stefan; Toth, Zoltan; Munro, Katherine; Weidinger, Wolfgang; Nikolić, Danko; Antosova Vesela, Barbora; Bruckmüller, Karin; Cadonna, Annalisa; Eder, Jana; Gorzala, Jeannette; Hahn, Gerald A.; Langs, Georg; Licandro, Roxane; Mata, Christian; McIntyre, Sean; Meir-Huber, Mario; Móra, György; Pasieska, Manuel; Rugli, Victoria; Wazir, Rania; Zauner, Günther
- Publisher
- Hanser Publications
- Publication year
- 2026
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1569905150
- ISBN 13
- 9781569905159
- Edition
- 3rd Edition
- A comprehensive overview of the various fields of application of data science and artificial intelligence.
- Case studies from practice to make the described concepts tangible.
- Practical examples to help you carry out simple data analysis projects.
- New in 3rd edition: AI Agents, RAGs, MCP, Vibe Coding
Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring:
The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term.
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