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: 2024-08-26
  • 售價: $3,540
  • 貴賓價: 9.5 折 $3,363
  • 語言: 英文
  • 頁數: 564
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 177463869X
  • ISBN-13: 9781774638699
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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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)

本書帶領讀者踏上一場機器學習進展的科技之旅，突顯演算法的系統性變化、挑戰與限制。機器學習領域的科技進步已經改變並革新了多個領域，包括交通、農業、金融、氣象監測等。本書匯集了研究人員、作者、業界人士和學者，涵蓋了機器學習的廣泛主題，從機器學習方法的基本概念開始，延伸至在醫療保健和工業自動化中的具體應用。

本書首先概述了機器學習中的倫理、安全與隱私問題、未來方向及挑戰，並系統性回顧深度學習技術，提供建立生成對抗網路的理解。各章節探討了健康問題的預測數據分析。本書還透過強調機器學習在工業應用中的宏觀維度，涵蓋了如鋼鐵產業、城市資訊檢索、垃圾檢測、空氣污染測量、股市預測、水下魚類檢測、假新聞預測等多個應用範疇。

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, PhD，是印度孟買Dwarkadas J. Sanghvi工程學院資訊科技系的副教授。她擁有超過18年的教學經驗，並持有兩項專利。她指導了許多學生專案，並與知名出版社發表了研究論文和書籍章節。

Subhash K. Shinde, PhD，是印度新孟買Lokmanya Tilak工程學院的教授及副校長。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。他還著作了多本書籍，並曾擔任孟買大學技術學院計算機工程學科的學術委員會主席。

Vaishali Mehta, PhD，是印度哈里亞納邦Panipat工程技術學院資訊科技系的教授。她擁有兩項已發表的專利，並在本科及研究生層級擁有超過17年的教學經驗。她發表了研究文章和書籍，並為知名期刊和會議審稿。

Nonita Sharma, PhD，是印度賈朗達爾國立技術學院的助理教授。她擁有超過10年的教學經驗，並在國際和國內期刊及會議上發表論文，還撰寫了書籍章節。她著作了一本名為《XGBoost: The Extreme Gradient Boosting for Mining Applications》的書籍。

Sachi Nandan Mohanty, PhD，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，並因其工作獲得獎項及國際旅行資助。Mohanty博士目前擔任多本期刊的審稿人，並已出版四本編輯書籍和三本著作。

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