The field of Artificial Intelligence has seen explosive growth in recent years, yet a persistent challenge remains, namely bridging the gap between theoretical concepts and practical implementation. Too often, students encounter either highly abstract mathematical treatments disconnected from real-world applications, or simplified implementations that fail to convey the underlying principles. This textbook directly addresses this challenge through its unique approach combining clear theoretical explanations with comprehensive Python implementations.
Drawing from the author's extensive experience teaching at the University of eCampus, Italy, this book provides a thorough exploration of intelligent systems, covering classical approaches to cutting-edge techniques. Organized into three main areas, the book explores the foundations of intelligent systems, examines optimization and search methods that form the backbone of AI solutions, and ends by investigating machine learning fundamentals that enable systems to derive knowledge from experience.
A distinguishing feature of this work is its practical approach. Each theoretical concept is paired with Python implementations and exercises. This hands-on methodology develops both conceptual understanding and practical skills simultaneously. The exercises progress from basic implementations to complex real-world problems.
The textbook aims to serve both undergraduate and graduate students in computer science, engineering, and related disciplines. It assumes basic programming knowledge but introduces concepts progressively. Professionals implementing intelligent systems will also find valuable insights and practical guidance.
Despite AI's rapid evolution, this book provides both current knowledge and the conceptual framework necessary for understanding future developments. Ethical considerations are addressed throughout, encouraging critical thinking about responsible AI implementation. It is the author's hope that this book will be a valuable resource in the reader's journey to understand and design intelligent systems.
| ISBN: | 9783032000439 |
| Publication date: | 12th October 2025 |
| Author: | Oleksandr Kuznetsov |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 395 pages |
| Series: | Cognitive Technologies |
| Genres: |
Artificial intelligence Natural language and machine translation Machine learning Image processing Computer hardware Databases |
The field of Artificial Intelligence has seen explosive growth in recent years, yet a persistent challenge remains, namely bridging the gap between theoretical concepts and practical implementation. Too often, students encounter either highly abstract mathematical treatments disconnected from real-world applications, or simplified implementations that fail to convey the underlying principles.
Intelligent Systems features in the following genres: Artificial intelligence, Natural language and machine translation, Machine learning, Image processing, Computer hardware, Databases
Hardback. £53.99, down from the £59.99 cover price. Not Available.
Intelligent Systems was written by Oleksandr Kuznetsov and published by Springer an imprint of Springer Nature Switzerland
Intelligent Systems has 395 pages
Yes it is part of Cognitive Technologies series
£53.99, reduced from £59.99. Not Available.