Handbook of Research on Machine Learning: Foundations and Applications

Mangla, Monika, Shinde, Subhash K., Mehta, Vaishali

Handbook of Research on Machine Learning: Foundations and Applications
  • 出版商: Apple Academic Press
  • 出版日期: 2022-08-04
  • 售價: $8,240
  • 貴賓價: 9.5 折 $7,828
  • 語言: 英文
  • 頁數: 564
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1774638681
  • ISBN-13: 9781774638682
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation.

The book begins with an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning as well as a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. Chapters explore predictive data analytics for health issues. The book also adds a macro dimension by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.

商品描述(中文翻譯)

本書帶領讀者進入機器學習技術的航程，突顯了算法、挑戰和限制方面的系統性變革。機器學習領域的技術進步已經改變和革新了交通運輸、農業、金融、氣象監測等多個領域。本書匯集了研究人員、作者、工業家和學者，涵蓋了機器學習領域的廣泛主題，從機器學習方法的基礎知識開始，到醫療保健和工業自動化等特定應用。

本書首先概述了機器學習中的倫理、安全和隱私問題，未來發展方向和挑戰，並系統地回顧了深度學習技術，並提供了建立生成對抗網絡的理解。各章節探討了健康問題的預測數據分析。本書還通過突出機器學習在工業應用中的宏觀維度，如在鋼鐵行業中的應用、城市信息檢索、垃圾檢測、空氣污染測量、股市預測、水下魚類檢測、假新聞預測等，豐富了內容。

作者簡介

Monika Mangla, PhD, is Associate Professor in the Department of Information Technology at Dwarkadas J. Sanghvi College of Engineering, Mumbai, India. She has over 18 years of teaching experience and holds two patents. She has guided many student projects and has published research papers and book chapters with reputed publishers.

Subhash K. Shinde, PhD, is Professor and Vice Principal at Lokmanya Tilak College of Engineering (LTCoE), Navi Mumbai, India. He has over 20 years of teaching experience and has published many research papers in national and international conferences and journals. He has also authored many books. He has also worked as Chairman of the Board of Studies in Computer Engineering under the Faculty of Technology at the University of Mumbai.

Vaishali Mehta, PhD, is Professor in the Department of Information Technology at Panipat Institute of Engineering and Technology, Panipat, Haryana, India. She has two patents published to her credit. She has over 17 years of teaching experience at undergraduate and postgraduate levels. She has published research articles and books and has also reviewed research papers for reputed journals and conferences.

Nonita Sharma, PhD, is Assistant Professor at the National Institute of Technology, Jalandhar, India. She has more than 10 years of teaching experience. She has published papers in international and national journals and conferences and has also written book chapters. She has authored a book titled XGBoost: The Extreme Gradient Boosting for Mining Applications.

Sachi Nandan Mohanty, PhD, is Associate Professor in the Department of Computer Science & Engineering at Vardhaman College of Engineering, India. He is actively involved in the activities of several professional societies. He has received awards for his work as well as international travel funds. Dr. Mohanty is currently acting as a reviewer of many journals and has also published four edited books and three authored books.

作者簡介(中文翻譯)

Monika Mangla博士是印度孟買Dwarkadas J. Sanghvi工程學院資訊技術系的副教授。她擁有超過18年的教學經驗並持有兩項專利。她指導過許多學生專案並與知名出版商合作發表研究論文和專書章節。

Subhash K. Shinde博士是印度孟買Navi Mumbai的Lokmanya Tilak工程學院的教授兼副校長。他擁有超過20年的教學經驗並在國內外會議和期刊上發表了許多研究論文。他也是多本書的作者。他曾擔任孟買大學技術學院計算機工程學科委員會主席。

Vaishali Mehta博士是印度哈里亞納邦Panipat市Panipat工程技術學院資訊技術系的教授。她發表了兩項專利。她在本科和研究生課程中擁有超過17年的教學經驗。她發表了研究文章和專書，並為知名期刊和會議審查了研究論文。

Nonita Sharma博士是印度賈蘭達爾國立工業技術學院的助理教授。她擁有超過10年的教學經驗。她在國際和國內期刊和會議上發表了論文，並撰寫了專書章節。她還撰寫了一本名為《XGBoost: The Extreme Gradient Boosting for Mining Applications》的書籍。

Sachi Nandan Mohanty博士是印度Vardhaman工程學院計算機科學與工程系的副教授。他積極參與多個專業學會的活動。他因其工作而獲得了獎項和國際旅行資金。Mohanty博士目前擔任多個期刊的審稿人，並出版了四本編輯書籍和三本作者書籍。

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