Intelligent Systems From Theory To Applications Foundations Search Algorithms And Machine Learning (Oleksandr Kuznetsov)

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.

Contents of Download:

📌 978.3.032.00044.6.epub (Oleksandr Kuznetsov) (2026) (28.4 MB)
📌 978.3.032.00044.6.pdf (Kuznetsov, Oleksandr) (2025) (27.75 MB)

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⭐️ Intelligent Systems From Theory To Applications Foundations Search Algorithms And Machine Learning ✅ (56.15 MB)
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