Machine Learning for Real World Applications

本書全面涵蓋了從基礎到進階的機器學習技術。內容從基礎開始，針對書中範疇的主題進行探討，為讀者提供可靠的理論和技術學習資源。本書不僅強調理論特徵，還關注其在現實應用中的實踐和實施方面。這些應用至關重要，因為它們提供了全面的實驗工作，支持所提供方法的有效性，並清楚指導如何在可比和不同的環境及情境中應用這些模型。此外，各章節還闡明了研究人員可能用來指導未來研究工作的問題和可能性。本書對本科生、研究生、研究人員及業界人員均有幫助。

Dinesh K. Sharma is a Professor of Quantitative Methods and Computer Applications in the Department of Business, Management, and Accounting at the University of Maryland Eastern Shore, USA. He earned his MS in Mathematics, MS in Computer Science, Ph.D. in Operations Research, and a second Ph.D. in Management. Professor Sharma has over twenty-nine years of teaching experience, has served on several committees to supervise Ph.D. students, and acts as an external Ph.D. thesis examiner for several universities in India. Dr. Sharma's research interests include mathematical programming, artificial intelligence and machine learning techniques, supply chain management, healthcare management, and portfolio management. He has published over 250 refereed journal articles and conference proceedings, two forthcoming edited books (Springer and Taylor & Francis), and has also won sixteen best paper awards. Professor Sharma has collaborated on many funded research grants. Professor Sharma is the Editor of the Journal of Global Information Technology and the Review of Business and Technology Research, is on the editorial board of several journals, and is a paper reviewer for several additional journals and conferences. Additionally, he is a member of Decision Sciences, USA, and a life member of the Operational Research Society of India. He has served as a program chair and coordinator of several international conferences in many countries.

H.S. HOTA is a Professor of Computer Science in the Department of Computer Science and Application and Dean Faculty of Science at Atal Bihari Vajpayee University in Bilaspur, India. Prior to joining Atal Bihari Vajpayee University, he worked as an Associate Professor at the same university and as an Assistant Professor at Guru Ghasidas Central University, Bilaspur, India. He earned his Ph.D. from Guru Ghasidas Central University in Bilaspur, India. His research interests include Artificial Intelligence and Machine Learning, Business Intelligence, Information Security including Cloud Security, Data Mining, and Evolutionary Computing, and he has published over 75 refereed journal articles in reputable journals. In the conference proceedings, more than 60 articles have been published. He has also won five best paper awards at international conferences. He has also been to several countries and spoken at international conferences as a keynote speaker. He has three patents related to the application of machine learning in different domains in his credit, and he has published one book and three edited books are in the pipeline from internationally reputed publishers. He is also actively involved in various administrative activities of the university. He is also a member of the editorial boards of five international journals as well as a reviewer for many reputed journals of Elsevier and Inderscience. He is a member of many academic bodies, including the Computer Society of India (CSI) and the Indian Science Congress.

Aaron Rasheed Rababaah is an Associate Professor at the College of Engineering and Applied Sciences at the American University of Kuwait (Jan 2016 - Present). He held the following academic positions in the USA: Associate Professor and Assistant Professor at the University of Maryland Eastern Shore, Post-Doc researcher and Instructor at Tennessee State University, and Adjunct Instructor at Indiana University of South Bend. He finished a B.Sc. in Industrial Engineering from the University of Jordan, Jordan, a M.Sc. in Applied Computer Science from the University of Indiana, USA, and a Ph.D. in Computer Information and Systems Engineering from Tennessee State University, USA. He has 5 years of experience in IE and 12 years in teaching at the college level. He has a research interest in Machine Intelligence and Computing Education He has published 4 books, 90 refereed journal and conference papers, and 50 professional presentations. He was awarded several awards in education, research, andindustry. He has supervised, advised, and referred senior projects, master theses, doctoral dissertations, and a number of journals. He has been funded by the USA Department of Defense, the US Army, NASA, USA NSF, and the MD Department of Education.

Dinesh K. Sharma 是美國馬里蘭州東岸大學商業、管理與會計系的定量方法與計算機應用教授。他獲得數學碩士、計算機科學碩士、運籌學博士及管理學第二博士學位。Sharma 教授擁有超過二十九年的教學經驗，曾在多個委員會中擔任博士生的指導，並擔任印度多所大學的外部博士論文考官。Sharma 博士的研究興趣包括數學規劃、人工智慧與機器學習技術、供應鏈管理、醫療管理及投資組合管理。他已發表超過 250 篇經過審核的期刊文章和會議論文，兩本即將出版的編輯書籍（Springer 和 Taylor & Francis），並獲得十六項最佳論文獎。Sharma 教授參與了多項資助研究計畫的合作。他是《全球資訊技術期刊》和《商業與技術研究評論》的編輯，並在多個期刊的編輯委員會中任職，同時也是多個其他期刊和會議的論文審稿人。此外，他是美國決策科學學會的成員，並且是印度運籌學會的終身會員。他曾在多個國家的國際會議中擔任程序主席和協調員。

H.S. HOTA 是印度比拉斯普爾的阿塔爾·比哈里·瓦傑帕伊大學計算機科學與應用系的計算機科學教授及科學學院院長。在加入阿塔爾·比哈里·瓦傑帕伊大學之前，他曾在同一所大學擔任副教授，並在印度比拉斯普爾的古魯·哈西達斯中央大學擔任助理教授。他在古魯·哈西達斯中央大學獲得博士學位。他的研究興趣包括人工智慧與機器學習、商業智慧、資訊安全（包括雲安全）、資料挖掘和進化計算，並在知名期刊上發表了超過 75 篇經過審核的期刊文章。在會議論文集中，發表了超過 60 篇文章。他在國際會議上獲得了五項最佳論文獎。他曾前往多個國家，並作為主題演講者在國際會議上發言。他擁有三項與機器學習在不同領域應用相關的專利，並已出版一本書，還有三本編輯書籍正在國際知名出版社出版中。他還積極參與大學的各項行政活動。他是五本國際期刊的編輯委員會成員，並擔任多本 Elsevier 和 Inderscience 知名期刊的審稿人。他是多個學術機構的成員，包括印度計算機學會（CSI）和印度科學大會。

Aaron Rasheed Rababaah 是科威特美國大學工程與應用科學學院的副教授（2016 年 1 月 - 現在）。他在美國擔任過以下學術職位：馬里蘭州東岸大學的副教授和助理教授、田納西州立大學的博士後研究員和講師，以及印第安納州南本德大學的兼任講師。他在約旦約旦大學獲得工業工程學士學位，在美國印第安納大學獲得應用計算機科學碩士學位，並在美國田納西州立大學獲得計算機資訊與系統工程博士學位。他在工業工程領域擁有 5 年的經驗，並在大學教學方面有 12 年的經驗。他的研究興趣包括機器智慧和計算教育。他已出版 4 本書籍、90 篇經過審核的期刊和會議論文，以及 50 次專業演講。他在教育、研究等方面獲得了多項獎項。