Data Analytics: A Theoretical and Practical View from the Edison Project
暫譯: 數據分析:愛迪生計畫的理論與實務觀點
Cuadrado-Gallego, Juan J., Demchenko, Yuri, Gómez Pérez, Josefa
- 出版商: Springer
- 出版日期: 2024-11-11
- 售價: $7,110
- 貴賓價: 9.5 折 $6,755
- 語言: 英文
- 頁數: 477
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031391314
- ISBN-13: 9783031391316
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical foundations to their implementation and use with software tools.
Designed as a textbook for a Data Analytics Fundamentals course, it is divided into seven chapters to correspond with 16 weeks of lessons, including both theoretical and practical exercises. Each chapter is dedicated to a lesson, allowing readers to dive deep into each topic with detailed explanations and examples. Readers will learn the theoretical concepts and then immediately apply them to practical exercises to reinforce their knowledge. And in the lab sessions, readers will learn the ins and outs of the R environment and data science methodology to solve exercises with the R language. With detailed solutions provided for all examples and exercises, readers can use this book to study and master data analytics on their own. Whether you're a student, professional, or simply curious about data analytics, this book is a must-have for anyone looking to expand their knowledge in this exciting field.
商品描述(中文翻譯)
本書在《數據科學框架》中介紹的知識基礎上,對數據分析的各個方面進行了全面而詳細的探討,無論是從理論還是實踐的角度。本書解釋了與不同技術相關的代表性算法,涵蓋了它們的理論基礎、實現及與軟體工具的使用。
本書設計為數據分析基礎課程的教科書,分為七個章節,對應16週的課程,包括理論和實踐練習。每個章節專注於一個課題,讓讀者能深入了解每個主題,並提供詳細的解釋和範例。讀者將學習理論概念,然後立即將其應用於實踐練習,以鞏固他們的知識。在實驗課中,讀者將學習R環境和數據科學方法論的各個細節,以使用R語言解決練習題。所有範例和練習題均提供詳細解答,讀者可以利用本書自行學習並掌握數據分析。無論您是學生、專業人士,還是對數據分析感到好奇,本書都是希望在這個令人興奮的領域擴展知識的必備之作。
作者簡介
Dr. Juan José Associate Professor in the Department of Computer Science at the University of Alcalá, in the area of Computer Science and Artificial Intelligence and Affiliate Associate Professor in the Department of Computer Science and Software Engineering, of the Faculty of Engineering and Computer Science, of the Concordia University, in Montreal, Canada. Previously, he was a professor at the Spanish Universities Universitat Oberta de Catalunya, in Barcelona, from 2004 to 2016, the University of Valladolid, in Segovia, in 2004, and the Universidad Carlos III de Madrid, in Madrid, between 1997 and 2004. He has been Visiting Associate Professor, in the Department of Software and IT Engineering, of the École de Technologie Supérieure, at the Université du Québec à Montréal, in Montreal, Canada, from 2009 to 2015; and Visiting Professor, in the Postgraduate and Research section, of the Faculty of Administration and Management, of the National Polytechnic Institute, inMexico City, Mexico, from 2009 to 2014. He was also a researcher in the Department of Astrophysics and Atmospheric Sciences, from the Faculty of Physical Sciences, of the Complutense University of Madrid, in Madrid, Spain, from 1994 to 1997.
Juan José has a degree in Physical Sciences from the Complutense University of Madrid, in 1994; obtained in Recognition of the research sufficiency in the Faculty of Physical Sciences of the Complutense University of Madrid, in 1997; and the Doctorate in Computer Engineering, at the Carlos III University of Madrid, in 2001, with the qualification of A "cum laude" unanimously by the court. It currently has 4 six-year periods and 3 five-year periods. In 2010, she obtained the Outstanding Research Pathway certification by the National Agency for Evaluation and Prospective (ANEP) of the Secretary of State for Universities and Research of the Ministry of Science and Innovation, within the program I3 Program, Incentive for the Incorporation andIntensification of Research Activity.
Juan José has carried out research stays at the Universities: University of Amsterdam, Amsterdam, Holland, at the Informatics Institute, of the Faculty of Science, in 2018, funded by a mobility grant from the University of Alcalá; at the Otto-von-Guericke-University, Magdeburg, Germany, at the Institüt für Verteilte Systeme, de la Fakültat für Informatik, in 2013, funded by a mobility grant from the University of Alcalá, in 2012, within a sabbatical year granted by the University of Alcalá, in 2009, funded by a "José Castillejo" for further studies and research, from the University of Alcalá; at the Université du Québec à Montréal, in Montreal, Canada, in the Department of Software and IT Engineering, from the École de Technologie Supérieure, in 2006 and 2005; at the University of Reading, in Reading, United Kingdom, in the Computer Science Department, in 2005 and 2004; and the Università Roma Tre, in Rome, Italy, in the Dipartamento di Informatica e Automatizacione, in 2004 and 2003.
Juan José is currently researching in the fields of Artificial Intelligence and Data Science. He has made more than 200 scientific publications, many of which have been in journals indexed in the JRC Science Edition. He has also participated, as principal investigator or researcher, in numerous research projects, both financed with public funding, both European, national, regional or university; as well as with private financing, through contracts made through article 83 of the University Law. He has also directed nine doctoral theses, all of them having received the highest qualification; and has participated in numerous doctoral courts, in Spain, Germany, and Mexico. He is also an External Evaluator of projects in Computer Science, of the Natural Sciences and Engineering Research Council of Canada since 2014 and Evaluator of the National Agency for Evaluation and Prospective, of the General Directorate of Scientific and TechnicalResearch of Spain, of the Ministry of Economy, Industry and competitiveness of Spain.
Dr. Yuri Demchenko (M): Yuri Demchenko is a Senior Researcher at the System and Network Engineering of the University of Amsterdam. He is graduated from the National Technical University of Ukraine "Kiev Polytechnic Institute" where he also received his PhD (Cand. of Science) degree. His main research areas include Big Data and Data Intensive Science Technologies and Infrastructure, Cloud and Intercloud Architecture, general security architectures and distributed access control infrastructure for cloud based services and data centric applications. He is currently involved in the European projects GN3plus, EUBrazil CloudConnect and Cyclone where he conducts research and developments on the cloud federation infrastructure and cloud based Big Data infrastructure. He is actively contributing to the standardisation activity at RDA, OGF, IETF, NIST on defining Big Data ArchitectureFramework and Intercloud architecture for complex infrastructure services provisioning in clouds. Recently he has developed and contributed to development of a number of educational courses on Big Data and Cloud Computing for on campus education at UvA, online education for Laureate Online Education (University of Liverpool), and for IEEE eLearning Library. He also published a number of paper on innovative learning methods he implemented in different courses he taught ranging from Cloud Computing to Big Data Infrastructure and Data Science.作者簡介(中文翻譯)
胡安·荷西博士是阿爾卡拉大學計算機科學系的副教授,專注於計算機科學和人工智慧領域,同時也是加拿大蒙特利爾的康考迪亞大學工程與計算機科學學院計算機科學與軟體工程系的附屬副教授。之前,他曾在西班牙的巴塞隆納開放大學(Universitat Oberta de Catalunya)擔任教授,任職期間為2004年至2016年;在塞哥維亞的巴利亞多利德大學(University of Valladolid)於2004年;以及在馬德里的卡洛斯三世大學(Universidad Carlos III de Madrid)於1997年至2004年之間。他曾於2009年至2015年擔任加拿大蒙特利爾魁北克大學高等技術學院(École de Technologie Supérieure)軟體與資訊技術工程系的訪問副教授;並於2009年至2014年擔任墨西哥城國立工業大學(National Polytechnic Institute)管理與行政學院研究生及研究部門的訪問教授。他還曾於1994年至1997年在西班牙馬德里康普盧頓斯大學(Complutense University of Madrid)物理科學學院的天體物理學與大氣科學系擔任研究員。
胡安·荷西於1994年獲得馬德里康普盧頓斯大學的物理科學學位;於1997年獲得該校物理科學學院的研究能力認證;並於2001年在卡洛斯三世大學獲得計算機工程博士學位,並以全體評審一致的「優等」(cum laude)評價畢業。目前他擁有4個六年期和3個五年期的研究評估。在2010年,他獲得西班牙科學與創新部大學與研究國務卿的國家評估與前瞻性機構(ANEP)頒發的傑出研究路徑認證,該認證屬於I3計畫,旨在激勵研究活動的納入與強化。
胡安·荷西曾在以下大學進行研究交流:2018年於荷蘭阿姆斯特丹大學(University of Amsterdam)科學學院的資訊學研究所,該研究由阿爾卡拉大學的流動資助支持;2013年於德國馬格德堡的奧托·馮·圭里克大學(Otto-von-Guericke-University)資訊學院的分散系統研究所,該研究由阿爾卡拉大學的流動資助支持;2009年於蒙特利爾的魁北克大學高等技術學院的軟體與資訊技術工程系,進行了兩次研究交流,分別在2006年和2005年;2005年和2004年於英國雷丁大學(University of Reading)計算機科學系;以及2004年和2003年於意大利羅馬三大學(Università Roma Tre)資訊與自動化系。
胡安·荷西目前的研究領域包括人工智慧和數據科學。他已發表超過200篇科學出版物,其中許多發表在JRC科學版索引的期刊上。他還作為主要研究者或研究人員參與了多個研究項目,這些項目均獲得了公共資金的支持,包括歐洲、國家、地區或大學的資助;以及通過大學法第83條的合同獲得的私人資金。他還指導了九篇博士論文,所有論文均獲得最高評價;並參與了在西班牙、德國和墨西哥的多個博士考試委員會。他自2014年以來還擔任加拿大自然科學與工程研究委員會計算機科學項目的外部評估員,以及西班牙經濟、工業與競爭部科學與技術研究總局的國家評估與前瞻性機構的評估員。
尤里·德門琴科博士(M):尤里·德門琴科是阿姆斯特丹大學系統與網絡工程的高級研究員。他畢業於烏克蘭國立技術大學「基輔理工學院」,並在該校獲得博士學位(科學候選人)。他的主要研究領域包括大數據和數據密集型科學技術與基礎設施、雲端和雲間架構、一般安全架構以及雲端服務和數據中心應用的分散訪問控制基礎設施。他目前參與歐洲項目GN3plus、EUBrazil CloudConnect和Cyclone,進行雲端聯邦基礎設施和基於雲的大數據基礎設施的研究與開發。他積極參與RDA、OGF、IETF、NIST的標準化活動,定義大數據架構框架和雲間架構,以提供複雜基礎設施服務。他最近開發並貢獻了一系列關於大數據和雲計算的教育課程,這些課程用於阿姆斯特丹大學的校內教育、利物浦大學的在線教育以及IEEE電子學習圖書館。他還發表了多篇關於他在不同課程中實施的創新學習方法的論文,這些課程涵蓋了從雲計算到大數據基礎設施和數據科學的範疇。