Mastering the Minds of Machines: A Journey into Deep Learning and AI
暫譯: 掌握機器的思維：深入學習與人工智慧之旅

這本書揭開了深度學習和人工智慧的神秘面紗，使複雜的概念對所有讀者都變得易於理解。它將理論與實務指導相結合，涵蓋神經網絡、實際應用以及倫理考量。書中對生成對抗網絡（GANs）和強化學習的深入見解，讓讀者能夠構建智能系統並推動創新。

Laith Abualigah is the Director of the Department of International Relations and Affairs and an Associate Professor at the Computer Science Department at Al Al-Bayt University, Jordan. He received a PhD from the School of Computer Science at Universiti Sains Malaysia, Malaysia, in 2018. According to the report published by Clarivate, he is one of the Highly Cited Researchers for 2021-2024 and the 1% Influential Researcher by the Web of Science. He is also 2% top scientists in the world (Stanford University). He has published more than 650 journal papers and books, which collectively have been cited more than 27000 times (H-index = 73). His main research interests are Artificial Intelligence, Meta-heuristic Modeling, and Optimization Algorithms, Evolutionary Computations, Information Retrieval, Text clustering, Feature Selection, Combinatorial Problems, Optimization, Advanced Machine Learning, Big data, and Natural Language Processing. He currently serves as an associate editor of many prestigious journals.

Laith Abualigah 是約旦阿爾貝特大學計算機科學系的國際關係與事務部主任及副教授。他於2018年在馬來西亞科學大學的計算機科學學院獲得博士學位。根據Clarivate發佈的報告，他是2021-2024年期間的高被引研究者之一，也是Web of Science的1%影響力研究者。他同時也是全球2%的頂尖科學家（史丹佛大學）。他已發表超過650篇期刊論文和書籍，這些作品的總引用次數超過27000次（H指數 = 73）。他的主要研究興趣包括人工智慧、元啟發式建模與優化演算法、進化計算、資訊檢索、文本聚類、特徵選擇、組合問題、優化、高級機器學習、大數據和自然語言處理。他目前擔任多本知名期刊的副編輯。