Artificial Intelligence: Transcending Traditional Paradigms
暫譯: 人工智慧：超越傳統範式

Akerkar, Rajendra

Artificial Intelligence: Transcending Traditional Paradigms
  • 出版商: Springer
  • 出版日期: 2026-01-03
  • 售價: $3,460
  • 貴賓價: 9.5 折 $3,287
  • 語言: 英文
  • 頁數: 568
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031910834
  • ISBN-13: 9783031910838
  • 相關分類: Machine Learning

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相關主題

商品描述

Artificial Intelligence: Transcending Traditional Paradigms is a significant new introductory text for undergraduate and graduate course use. It introduces students and professionals to the state-of-the-art development of Artificial Intelligence techniques to develop smart real-world solutions. As an active researcher, the author presents the material authoritatively and with insights that reflect a modern, firsthand understanding of the field.

Artificial intelligence is a science still in its infancy, and that makes it special. It's not like more established fields, and the author has tried in writing this textbook to honour this characteristic and the ways it makes AI unique.

商品描述(中文翻譯)

《人工智慧：超越傳統範式》是一本重要的新入門教材，適用於本科生和研究生課程。它向學生和專業人士介紹了人工智慧技術的最新發展，以開發智能的現實世界解決方案。作為一名活躍的研究者，作者以權威的方式呈現材料，並提供反映該領域現代、第一手理解的見解。

人工智慧是一門仍在發展初期的科學，這使它具有特殊性。它與更成熟的領域不同，作者在撰寫這本教科書時努力尊重這一特點以及使人工智慧獨特的方式。

作者簡介

Rajendra Akerkar is a professor and coordinator of Big Data and Emerging Technologies research at Western Norway Research Institute. His research focuses on developing and applying artificial intelligence techniques to address real-world challenges in emergency management, cybersecurity, and transport and mobility. With over 30 years of academic experience across universities in Asia, Europe, and North America; Rajendra has co-authored more than 150 publications in prestigious international conferences and journals, as well as books and monographs on big data computing, AI, and knowledge-based systems.

作者簡介(中文翻譯)

Rajendra Akerkar 是西挪威研究所的教授及 大數據與新興技術 研究協調員。他的研究專注於開發和應用人工智慧技術，以解決在緊急管理、網路安全以及交通與流動性方面的現實挑戰。Rajendra 擁有超過 30 年的學術經驗，曾在亞洲、歐洲和北美的多所大學任教；他共同撰寫了超過 150 篇在國際知名會議和期刊上發表的論文，以及關於大數據計算、人工智慧和知識基礎系統的書籍和專著。

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