The Handbook of Data Science and AI

Stefan Papp, Zoltan Toth, Katherine Munro, Wolfgang Weidinger, Danko Nikolic, Barbora Antosova Vesela, Karin Bruckmüller, Annalisa Cadonna, Jana Eder, Jeannette Gorzala, Gerald A Hahn, Georg Langs, Roxane Licandro, Christian Mata, Sean McIntyre, Mario Meir-Huber, György Móra, Manuel Pasieska, Victoria Rugli, Rania Wazir, Günther Zauner

ISBN 10: 1569905150 / ISBN 13: 9781569905159

Published by Hanser Publications, 2026

About this Item

Seller Inventory # LU-9781569905159

Bibliographic Details

• Title: The Handbook of Data Science and AI
• Publisher: Hanser Publications
• Publication Date: 2026
• Language: English
• ISBN 10: 1569905150
• ISBN 13: 9781569905159
• Binding: Paperback
• Edition: 3rd ed.
• Condition: New
• Dimensions: 16.99W x 5.23H x 24D centimeters 16.99 centimeters width by 5.23 centimeters height by 24 centimeters depth
• Weight: 1751 grams

About this title

Synopsis

• 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.

About the Author

The team of authors consists of data experts from business and academia. The spectrum ranges from executives to data engineers who create production systems, to data scientists who generate value from data. All authors are members of the Vienna Data Science Group (VDSG), an NGO that aims to establish a platform for exchanging knowledge on the application of data science, AI and Machine Learning and raising awareness of the opportunities and potential risks of these technologies.