Real-World Applications of Machine Learning
暫譯: 機器學習的實際應用

Pant, Millie, Deep, Kusum, Nagar, Atulya K.

  • 出版商: Springer
  • 出版日期: 2026-07-14
  • 售價: $8,320
  • 貴賓價: 9.5$7,904
  • 語言: 英文
  • 頁數: 552
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819571332
  • ISBN-13: 9789819571338
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

商品描述

This book offers a comprehensive collection of 40 research contributions that explore the diverse and growing impact of machine learning across various domains. By aligning its themes with Sustainable Development Goals (SDG9: Industry, Innovation and Infrastructure), the book examines the practical applications ranging from healthcare, agriculture, cybersecurity and renewable energy systems to natural language processing, education and defense technologies. Each contribution highlights contemporary challenges, innovative methodologies and real-world implementations, offering insights into the interdisciplinary nature of machine learning research. The book serves as a valuable reference for researchers, practitioners and students interested in the evolving applications of machine learning to address complex and multidisciplinary problems.

商品描述(中文翻譯)

本書提供了40篇研究貢獻的綜合集,探討機器學習在各個領域日益增長的多樣影響。通過將主題與可持續發展目標(SDG9:產業、創新與基礎設施)對齊,本書檢視了從醫療保健、農業、網絡安全和可再生能源系統到自然語言處理、教育和國防技術的實際應用。每篇貢獻都突顯了當前的挑戰、創新的方法論和現實世界的實施,提供了對機器學習研究跨學科特性的見解。本書是對於有興趣於機器學習不斷演變的應用以解決複雜和多學科問題的研究人員、實務工作者和學生的寶貴參考。

作者簡介

Millie Pant is Professor in the Department of Applied Mathematics and Scientific Computing at the Indian Institute of Technology Roorkee (IITR), Uttrakhand, India and a joint faculty Joint Faculty at the Mehta Family School of Data Science and Artificial Intelligence at IITR and is an adjunct faculty at AIT Thailand. She is the current head of the Department and is also the Dean of the Saharanpur Campus of IIT Roorkee. She did her MSc in mathematics from CCS University Meerut and her PhD from IITR. She specializes in data science and artificial intelligence, with significant contributions to optimization algorithms and their applications. She has a robust publication record and has guided numerous Ph.D. and M.Tech. students, reflecting her commitment to research and education in advanced mathematical and computational methods.

Kusum Deep is an Emeritus Professor in the Department of Mathematics and former Joint Faculty at the Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee. She is also a Visiting Professor at Liverpool Hope University (UK), University of Technology Sydney (Australia), and Curtin University, Perth (Australia). A graduate of the Centre for Advanced Studies, Panjab University, Chandigarh, she is an M.Phil Gold Medalist and earned her Ph.D. from the University of Roorkee (now IIT Roorkee) in 1988. She has been a national scholarship holder and a Post-Doctoral Fellow at Loughborough University, UK, supported by an International Bursary from the Commission of European Communities. Dr. Deep has received numerous honors, including the Khosla Research Award, UGC Career Award, AIAP Excellence Award, Starred Performer of IIT Roorkee, and multiple best paper awards. She is one of the four women from IIT Roorkee featured in the Women in STEM 2021 e-book published by CII. Since 2019, she has consistently ranked among the top 2% scientists worldwide, according to Stanford University. In 2021, she received the prestigious SERB-DST POWER Grant and since 2022 has led a collaborative AI/ML consultancy project funded by Deloitte. She received the Uttarakhand State Level Excellence in Research of the Year 2022 Award and, in 2023, the Distinguished Alumni Award from Panjab University and a Lifetime Achievement Award from IARS. Her popular NPTEL course on Operations Research has run successfully since 2018. With over 160 research papers, two authored books, and supervision of 25 PhD theses, Dr. Deep is a Senior Member of ORSI, CSI, IMS, and ISIM. She serves on editorial boards of leading journals, including Engineering Applications of Artificial Intelligence. Her research focuses on evolutionary algorithms, swarm intelligence, artificial intelligence, machine learning, and optimization techniques with real-world applications.

Atulya K. Nagar is the Foundation Chair Professor in the School of Mathematics, Computer Science and Engineering, and currently serves as Pro Vice-Chancellor (Research) at Liverpool Hope University, United Kingdom. He earned his DPhil in Applied Nonlinear Mathematics from the University of York in 1996, supported by a prestigious Commonwealth Fellowship. He also holds BSc (Hons), MSc, and MPhil (with distinction) degrees in Mathematical Physics from MDS University of Ajmer, Rajasthan, India. He is a Fellow of the Institute of Mathematics and its Applications (FIMA) and a Fellow of the Higher Education Academy (FHEA). His research encompasses nonlinear mathematical analysis, natural computing, computational optimisation, and systems engineering, with a focus on addressing complex, interdisciplinary challenges. Professor Nagar has been the Foundational Head of the School of Mathematics, Computer Science and Engineering, and served as the inaugural Dean of Faculty of Science at Liverpool Hope University. His leadership has shaped academic development, research growth, and international engagement across disciplines. In recognition of his global academic contributions, he was awarded the Sir C. V. Raman Visiting Professorship by the University of Madras for 2024-2025. Funded by the endowment of the Nobel Laureate, this honour involved delivering a lecture series on complex systems, system dynamics, and mathematical modelling across institutions in Chennai. He also holds a visiting professorship at the Indian Institute of Technology (IIT) Roorkee. A prolific scholar, he has authored or edited several books and published more than 550 research papers. He serves as the founding Series Editor of Springer's Algorithms for Intelligent Systems book series, which highlights cutting-edge developments in computational intelligence and emerging technologies. His academic career includes senior appointments at Brunel University London, lecturing at the Tata Institute of Fundamental Research, BITS Pilani, and various Indian Institutes of Technology as well as South Asian University Delhi.

作者簡介(中文翻譯)

米莉·潘特是印度羅爾基工業大學(IITR)應用數學與科學計算系的教授,並擔任梅赫塔家族數據科學與人工智慧學院的聯合教職,此外也是泰國AIT的兼任教職。她目前是該系的系主任,同時也是IIT羅爾基薩哈蘭普爾校區的院長。她在CCS大學梅魯特獲得數學碩士學位,並在IITR獲得博士學位。她專注於數據科學和人工智慧,對優化算法及其應用有顯著貢獻。她擁有豐富的出版紀錄,並指導了多位博士及碩士學生,展現了她對於高級數學和計算方法研究及教育的承諾。 庫蘇姆·迪普是印度羅爾基工業大學數學系的名譽教授,曾擔任梅赫塔家族數據科學與人工智慧學院的聯合教職。她同時也是英國利物浦霍普大學、澳大利亞悉尼科技大學及澳大利亞珀斯的科廷大學的訪問教授。她是印度昌迪加爾的旁遮普大學高級研究中心的畢業生,並獲得M.Phil金獎,於1988年在羅爾基大學(現為IIT羅爾基)獲得博士學位。她曾是國家獎學金持有者,並在英國拉夫堡大學擔任博士後研究員,該職位由歐洲共同體委員會的國際獎學金支持。迪普博士獲得了多項榮譽,包括Khosla研究獎、UGC職業獎、AIAP卓越獎、IIT羅爾基的明星表現者獎及多個最佳論文獎。她是IIT羅爾基四位女性之一,曾在CII出版的《2021年女性在STEM電子書》中亮相。自2019年以來,她根據斯坦福大學的評比,持續位居全球前2%的科學家。2021年,她獲得了著名的SERB-DST POWER獎金,自2022年以來,她領導了一個由德勤資助的AI/ML顧問項目。她獲得了2022年烏塔拉坎德州研究卓越獎,並在2023年獲得旁遮普大學的傑出校友獎及IARS的終身成就獎。她的NPTEL運籌學課程自2018年以來運行良好。迪普博士擁有超過160篇研究論文、兩本著作及指導25篇博士論文,是ORSI、CSI、IMS及ISIM的高級會員。她擔任多本領先期刊的編輯委員會成員,包括《人工智慧工程應用》。她的研究專注於進化算法、群體智慧、人工智慧、機器學習及具有實際應用的優化技術。 阿圖利亞·K·納加爾是英國利物浦霍普大學數學、計算機科學與工程學院的創始講座教授,並目前擔任研究副校長。他於1996年在約克大學獲得應用非線性數學的DPhil學位,並獲得了著名的英聯邦獎學金。他還擁有印度拉賈斯坦邦阿傑梅爾的MDS大學數學物理學的榮譽學士、碩士及M.Phil(優異)學位。他是數學及其應用學會的院士(FIMA)及高等教育學院的院士(FHEA)。他的研究涵蓋非線性數學分析、自然計算、計算優化及系統工程,專注於解決複雜的跨學科挑戰。納加爾教授曾擔任數學、計算機科學與工程學院的創始院長,並擔任利物浦霍普大學科學學院的首任院長。他的領導塑造了學術發展、研究增長及跨學科的國際參與。因其全球學術貢獻,他於2024-2025年獲得馬德拉斯大學的C.V.拉曼訪問教授獎。該榮譽由諾貝爾獎得主的捐贈資助,涉及在金奈的多所機構進行有關複雜系統、系統動力學及數學建模的講座系列。他還擔任印度羅爾基工業大學(IIT)的訪問教授。作為一位多產的學者,他已撰寫或編輯多本書籍,並發表超過550篇研究論文。他是Springer的智能系統算法書系的創始系列編輯,該系列突顯了計算智能及新興技術的前沿發展。他的學術生涯包括在倫敦布魯內爾大學的高級職位、在塔塔基礎研究所、比特斯比拉尼及多所印度理工學院及南亞大學德里的講授經歷。