Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications
暫譯: 機器學習與大數據:概念、演算法、工具與應用

Dulhare, Uma N., Ahmad, Khaleel, Bin Ahmad, Khairol Amali

  • 出版商: Wiley
  • 出版日期: 2020-09-01
  • 售價: $7,830
  • 貴賓價: 9.5$7,439
  • 語言: 英文
  • 頁數: 544
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119654742
  • ISBN-13: 9781119654742
  • 相關分類: 大數據 Big-dataMachine LearningAlgorithms-data-structures
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Currently many different application areas for Big Data (BD) and Machine Learning (ML) are being explored. These promising application areas for BD/ML are the social sites, search engines, multimedia sharing sites, various stock exchange sites, online gaming, online survey sites and various news sites, and so on. To date, various use-cases for this application area are being researched and developed. Software applications are already being published and used in various settings from education and training to discover useful hidden patterns and other information like customer choices and market trends that can help organizations make more informed and customer-oriented business decisions.

Combining BD with ML will provide powerful, largely unexplored application areas that will revolutionize practice in Videos Surveillance, Social Media Services, Email Spam and Malware Filtering, Online Fraud Detection, and so on. It is very important to continuously monitor and understand these effects from safety and societal point of view.

Hence, the main purpose of this book is for researchers, software developers and practitioners, academicians and students to showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention

商品描述(中文翻譯)

目前,許多不同的應用領域正在探索大數據(Big Data, BD)和機器學習(Machine Learning, ML)。這些BD/ML的有前景的應用領域包括社交網站、搜尋引擎、多媒體分享網站、各種股票交易網站、線上遊戲、線上調查網站以及各種新聞網站等。迄今為止,針對這些應用領域的各種使用案例正在進行研究和開發。軟體應用已經在教育和訓練等各種環境中發布並使用,以發現有用的隱藏模式和其他資訊,例如客戶選擇和市場趨勢,這些資訊可以幫助組織做出更明智且以客戶為導向的商業決策。

將BD與ML結合將提供強大且尚未充分探索的應用領域,這將徹底改變視頻監控、社交媒體服務、電子郵件垃圾郵件和惡意軟體過濾、線上詐騙檢測等實踐。從安全和社會的角度持續監控和理解這些影響是非常重要的。

因此,本書的主要目的是為研究人員、軟體開發者和實務工作者、學術界人士及學生展示新穎的使用案例和應用,呈現來自以使用者為中心的定性和定量實驗的實證研究結果,並促進討論論壇,以探索大數據和機器學習的最新趨勢,提供可以訓練以執行跨學科技術(如統計、線性代數和優化)的演算法,並創建能夠以高速篩選大量數據的自動化系統,以在無需人類干預的情況下進行預測或決策。

作者簡介

Uma N. Dulhare is a Professor in the Department of Computer Science & Eng., MJCET affiliated to Osmania University, Hyderabad, India. She has more than 20 years teaching experience years with many publications in reputed international conferences, journals and online book chapter contributions. She received her PhD from Osmania University, Hyderabad.

Khaleel Ahmad is an Assistant Professor in the Department of Computer Science & Information Technology at Maulana Azad National Urdu University, Hyderabad, India. He holds a PhD in Computer Science & Engineering. He has published more than 25 papers in refereed journals and conferences as well as edited two books.

Khairol Amali bin Ahmad obtained a BSc in Electrical Engineering in 1992 from the United States Military Academy, West Point, MSc in Military Electronic Systems Engineering in 1999 from Cranfield University, England, and PhD from ISAE-SUPAERO, France in 2015. Currently, he is the Dean of the Engineering Faculty at the National Defense University of Malaysia.

作者簡介(中文翻譯)

Uma N. Dulhare 是印度海得拉巴奧斯曼尼亞大學(Osmania University)MJCET計算機科學與工程系的教授。她擁有超過20年的教學經驗,並在多個知名國際會議、期刊及線上書籍章節中發表了許多論文。她於奧斯曼尼亞大學獲得博士學位。

Khaleel Ahmad 是印度海得拉巴馬烏拉納阿扎德國立烏爾都大學(Maulana Azad National Urdu University)計算機科學與信息技術系的助理教授。他擁有計算機科學與工程的博士學位,並在經過審核的期刊和會議上發表了超過25篇論文,還編輯了兩本書籍。

Khairol Amali bin Ahmad 於1992年在美國西點軍校獲得電機工程學士學位,1999年在英國克蘭菲爾德大學獲得軍事電子系統工程碩士學位,並於2015年在法國ISAE-SUPAERO獲得博士學位。目前,他是馬來西亞國防大學工程學院的院長。