Intelligent Systems: From Theory to Applications: Foundations, Search Algorithms, and Machine Learning
暫譯: 智能系統:從理論到應用:基礎、搜尋演算法與機器學習

Kuznetsov, Oleksandr

  • 出版商: Springer
  • 出版日期: 2025-10-12
  • 售價: $3,290
  • 貴賓價: 9.5$3,126
  • 語言: 英文
  • 頁數: 395
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032000432
  • ISBN-13: 9783032000439
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

人工智慧(Artificial Intelligence)領域在近年來經歷了爆炸性的增長,但仍然存在一個持續的挑戰,即理論概念與實際實施之間的鴻溝。學生們經常面臨高度抽象的數學處理,這些處理與現實世界的應用脫節,或者是簡化的實現,無法傳達其背後的原則。本教科書通過其獨特的方法,結合清晰的理論解釋與全面的 Python 實現,直接應對這一挑戰。

本書作者擁有在義大利 eCampus 大學教授的豐富經驗,提供了對智能系統的深入探索,涵蓋了從經典方法到尖端技術的各個方面。本書分為三個主要領域,探討智能系統的基礎,檢視構成 AI 解決方案骨幹的優化與搜尋方法,最後調查使系統能夠從經驗中獲取知識的機器學習基礎。本書的一個顯著特點是其實用的方法。每個理論概念都配有 Python 實現和練習。這種動手的方法同時發展概念理解和實踐技能。練習從基本實現逐步進展到複雜的現實問題。

本教科書旨在服務於計算機科學、工程及相關學科的本科生和研究生。它假設讀者具備基本的程式設計知識,但逐步引入概念。實施智能系統的專業人士也會發現有價值的見解和實用指導。儘管 AI 迅速演變,本書提供了當前的知識和理解未來發展所需的概念框架。全書貫穿倫理考量,鼓勵對負責任的 AI 實施進行批判性思考。作者希望本書能成為讀者理解和設計智能系統過程中的寶貴資源。

作者簡介

Prof. Oleksandr Kuznetsov is a faculty member at the Department of Theoretical and Applied Sciences, eCampus University, Italy. He also works as a Senior Data Scientist at Proxima Labs in San Francisco, USA. Prof. Kuznetsov has extensive experience in teaching and researching intelligent systems, with a focus on bridging theoretical concepts with practical applications. He has developed and taught courses on Artificial Intelligence, Machine Learning, and Intelligent Systems at the university level, and has published numerous papers in peer-reviewed journals and conferences in these fields.

作者簡介(中文翻譯)

奧列克桑德·庫茲涅佐夫教授是意大利電子校園大學(eCampus University)理論與應用科學系的教職員。他同時擔任美國舊金山的Proxima Labs資深數據科學家。庫茲涅佐夫教授在智能系統的教學和研究方面擁有豐富的經驗,專注於將理論概念與實際應用相結合。他在大學層級開發並教授有關人工智慧(Artificial Intelligence)、機器學習(Machine Learning)和智能系統的課程,並在這些領域的同行評審期刊和會議上發表了多篇論文。