The Handbook of Data Science and AI

Stefan Papp

ISBN 10: 1569905150 / ISBN 13: 9781569905159

Published by Hanser Fachbuchverlag Apr 2026, 2026

About this Item

Neuware -- 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 the 3rd edition: Chapters on Vibe Coding and AI AgentsData Science, Big Data, Artificial Intelligence and Generative AI 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.Using exercises and real-world examples, it will show you how to apply data science methods, build data platforms, and deploy data- and ML-driven projects to production. It will help you understand-and explain to various stakeholders-how to generate value from such endeavors. Along the way, it will bring essential data science concepts to life, including statistics, mathematics, and machine learning fundamentals, and explore crucial topics like critical thinking, legal and ethical considerations, and building high-performing data teams.Readers of all levels of data familiarity-from aspiring data scientists to expert engineers to data leaders-will ultimately learn: how can an organization become more data-driven, what challenges might it face, and how can individuals help make that journey a success.The Team of Authors consists of data professionals from business and academia, including data scientists, engineers, business leaders and legal experts. All 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. WHAT'S INSIDE //- Critical Thinking and Data Culture: How evidence driven decision making is the base for effective AI.- Machine Learning Fundamentals: Foundations of mathematics, statistics, and ML algorithms and architectures.- Natural Language Processing and Computer Vision: How to extract valuable insights from text, images and video data, for real world applications.- Foundation Models and Generative AI: Understand the strengths and challenges of generative models for text, images, video, and more.- ML and AI in Production: Turning experimentation into a working data science product.- AI Agents and Vibe Coding: Using AI in practice and creating new solutions.- Presenting your Results: Essential presentation techniques for data scientists. 1004 pp. Englisch.

Seller Inventory # 9781569905159

Bibliographic Details

• Title: The Handbook of Data Science and AI
• Publisher: Hanser Fachbuchverlag Apr 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 1569905150
• ISBN 13: 9781569905159
• Binding: Buch
• Edition: 3rd Edition
• Condition: Neu
• Dimensions: 240W x 170H x 13D millimeters 240 millimeters width by 170 millimeters height by 13 millimeters depth
• Weight: 420 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.