Data Science Concepts and Techniques with Applications
暫譯: 數據科學概念與技術及其應用
Qamar, Usman, Raza, Muhammad Summair
- 出版商: Springer
- 出版日期: 2021-06-09
- 售價: $2,320
- 貴賓價: 9.5 折 $2,204
- 語言: 英文
- 頁數: 196
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9811561354
- ISBN-13: 9789811561351
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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
This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections:
- The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science.
- The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining.
- And finally, the third section of the book focuses on two programming languages commonly used for data science projects i.e. Python and R programming language.
Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.
商品描述(中文翻譯)
這本書全面涵蓋了資料科學的主題。資料科學是一個總稱，包含了資料分析、資料挖掘、機器學習以及其他幾個相關學科。本書綜合了這個已經成熟的研究領域的基本和進階主題。本書的章節分為三個部分：
第一部分是資料科學的介紹。從基本概念開始，本書將強調資料的類型、用途、重要性以及在資料分析中通常面臨的問題。接著討論資料科學的廣泛應用及其常用技術。
第二部分專注於資料科學的工具和技術。內容包括資料預處理、特徵選擇、分類和聚類概念，以及文本挖掘和意見挖掘的介紹。
最後，第三部分聚焦於兩種常用於資料科學專案的程式語言，即 Python 和 R 程式語言。
雖然這本書主要作為教科書，但由於其對應用和參考的重視，也會吸引業界從業者和研究人員。本書適合本科生和研究生，以及從事資料科學研究的人士。它可以作為計算機科學、工程和數學本科生的教科書，也可以讓具備適當背景的其他領域本科生輕鬆理解。更進階的章節則可供希望深入理論理解的研究生使用。
作者簡介
Dr Usman Qamar has over 15 years of experience in data engineering and decision sciences both in academia and industry. He has a Masters in Computer Systems Design from University of Manchester Institute of Science and Technology (UMIST), UK. His MPhil in Computer Systems was a joint degree between UMIST and University of Manchester which focused on feature selection in big data. In 2008 he was awarded PhD from University of Manchester, UK. His Post PhD work at University of Manchester, involved various research projects including hybrid mechanisms for statistical disclosure (feature selection merged with outlier analysis) for Office of National Statistics (ONS), London, UK, churn prediction for Vodafone UK and customer profile analysis for shopping with the University of Ghent, Belgium. He is currently Associate Professor of Data Engineering at National University of Sciences and Technology (NUST), Pakistan. He has authored over 200 peer reviewed publications which includes 3 books published by Springer & Co. He is on the Editorial Board of many journals including Applied Soft Computing, Neural Computing and Applications, Computers in Biology and Medicine, Array. He has successfully supervised 5 PhD students and over 100 master students.
Dr. Muhammad Summair Raza has been affiliated with the Virtual University of Pakistan for more than 8 years and has taught a number of subjects to graduate-level students. He has authored several articles in quality journals and is currently working in the field of data analysis, big data with a focus on rough sets.
作者簡介(中文翻譯)
Dr. Usman Qamar 擁有超過 15 年的數據工程和決策科學經驗，涵蓋學術界和產業界。他在英國曼徹斯特科技大學（University of Manchester Institute of Science and Technology, UMIST）獲得計算機系統設計碩士學位。他的計算機系統 MPhil 學位是 UMIST 與曼徹斯特大學的聯合學位，專注於大數據中的特徵選擇。2008 年，他在英國曼徹斯特大學獲得博士學位。他在曼徹斯特大學的博士後工作涉及多個研究項目，包括為英國國家統計局（Office of National Statistics, ONS）開發統計披露的混合機制（將特徵選擇與異常分析相結合）、為 Vodafone UK 進行流失預測，以及與比利時根特大學合作的顧客檔案分析。他目前是巴基斯坦國立科學與技術大學（National University of Sciences and Technology, NUST）的數據工程副教授。他已發表超過 200 篇經過同行評審的出版物，其中包括 3 本由 Springer & Co. 出版的書籍。他是多本期刊的編輯委員會成員，包括《應用軟體計算》（Applied Soft Computing）、《神經計算與應用》（Neural Computing and Applications）、《生物與醫學中的計算機》（Computers in Biology and Medicine）和《Array》。他成功指導了 5 名博士生和超過 100 名碩士生。
Dr. Muhammad Summair Raza 在巴基斯坦虛擬大學工作超過 8 年，並教授多門研究生課程。他在優質期刊上發表了多篇文章，目前專注於數據分析和大數據，特別是粗集（rough sets）領域的研究。
