Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook

Rokach, Lior, Maimon, Oded, Shmueli, Erez

  • 出版商: Springer
  • 出版日期: 2024-08-19
  • 售價: $9,620
  • 貴賓價: 9.5$9,139
  • 語言: 英文
  • 頁數: 985
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031246306
  • ISBN-13: 9783031246302
  • 相關分類: Machine LearningData-miningData Science
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and to gain popularity. Existing methods are constantly being improved and new methods, applications and aspects are introduced. The new title of this handbook and its content reflect these changes thoroughly. Some existing chapters have been brought up to date. In addition to major revision of the existing chapters, the new edition includes totally new topics, such as: deep learning, explainable AI, human factors and social issues and advanced methods for big-data. The significant enhancement to the content reflects the growth in importance of data science. The third edition is also a timely opportunity to incorporate many other changes based on peers and students' feedback.

This comprehensive handbook also presents a coherent and unified repository of data science major concepts, theories, methods, trends, challenges and applications. It covers all the crucial important machine learning methods used in data science.

Today's accessibility and abundance of data make data science matters of considerable importance and necessity. Given the field's recent growth, it's not surprising that researchers and practitioners now have a wide range of methods and tools at their disposal. While statistics is fundamental for data science, methods originated from artificial intelligence, particularly machine learning, are also playing a significant role.

This handbook aims to serve as the main reference for researchers in the fields of information technology, e-Commerce, information retrieval, data science, machine learning, data mining, databases and statistics as well as advanced level students studying computer science or electrical engineering. Practitioners working within these related fields and data scientists will also want to purchase this handbook as a reference.

商品描述(中文翻譯)

這本書是《資料挖掘與知識發現手冊》第一版和第二版(2005年和2010年)的重大更新。自上一本版本以來,這個領域持續演變並獲得了更高的關注。現有的方法不斷改進,並且引入了新的方法、應用和面向。這本手冊的新標題及其內容徹底反映了這些變化。一些現有章節已經更新。此外,除了對現有章節進行重大修訂外,新版本還包括全新的主題,例如:深度學習、可解釋的人工智慧、人因與社會議題以及大數據的進階方法。內容的顯著增強反映了資料科學日益增長的重要性。第三版也是一個及時的機會,可以根據同行和學生的反饋納入許多其他變更。

這本綜合手冊還提供了一個連貫且統一的資料科學主要概念、理論、方法、趨勢、挑戰和應用的資料庫。它涵蓋了資料科學中使用的所有關鍵機器學習方法。

當今數據的可及性和豐富性使得資料科學變得相當重要且必要。考慮到這個領域最近的增長,研究人員和實務工作者現在擁有各種方法和工具也就不足為奇。雖然統計學對資料科學至關重要,但源自人工智慧的方法,特別是機器學習,也在其中扮演著重要角色。

這本手冊旨在成為資訊科技、電子商務、資訊檢索、資料科學、機器學習、資料挖掘、資料庫和統計等領域研究人員的主要參考資料,並且適合學習計算機科學或電機工程的高級學生。從事這些相關領域的實務工作者和資料科學家也會希望購買這本手冊作為參考。

作者簡介

Prof. Oded Maimon is the Oracle chaired Professor at Tel-Aviv University, Previously at MIT. Oded is a leader expert in the field of data mining and knowledge discovery. He published many articles on new algorithms and seven significant award winning books in the field since 2000. He has also developed and implemented successful applications in the Industry. He heads an international research group sponsored by European Union awards.

Dr. Lior Rokach is a senior lecturer at the Department of Information System Engineering at Ben-Gurion University. He is a recognized expert in intelligent information systems and has held several leading positions in this field. His main areas of interest are Data Mining, Pattern Recognition, and Recommender Systems. Dr. Rokach is the author of over 70 refereed papers in leading journals, conference proceedings and book chapters. In addition he has authored six books and edited three others books.

作者簡介(中文翻譯)

Oded Maimon 教授是特拉維夫大學的 Oracle 講座教授,之前曾任職於麻省理工學院。Oded 是資料探勘和知識發現領域的領導專家。自 2000 年以來,他在該領域發表了許多關於新演算法的文章,以及七本獲獎的重要書籍。他還在業界開發並實施了成功的應用程式。他負責一個由歐盟獎助的國際研究團隊。

Lior Rokach 博士是本古里安大學資訊系統工程系的高級講師。他是智能資訊系統的公認專家,並在該領域擔任過多個領導職位。他的主要研究興趣包括資料探勘、模式識別和推薦系統。Rokach 博士在領先的期刊、會議論文集和書籍章節中發表了超過 70 篇經過審核的論文。此外,他還著作了六本書並編輯了另外三本書。