Artificial Intelligence, Data Science and Applications

Yousef Farhaoui

ISBN 10: 3031485726 / ISBN 13: 9783031485725

Published by Springer, Berlin, Springer Nature Switzerland, Springer, 2024

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications. 616 pp. Englisch.

Seller Inventory # 9783031485725

Bibliographic Details

• Title: Artificial Intelligence, Data Science and Applications
• Publisher: Springer, Berlin, Springer Nature Switzerland, Springer
• Publication Date: 2024
• Language: English
• ISBN 10: 3031485726
• ISBN 13: 9783031485725
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications.