| 書目名稱 | Data Science Concepts and Techniques with Applications | | 編輯 | Usman Qamar,Muhammad Summair Raza | | 視頻video | http://file.papertrans.cn/264/263064/263064.mp4 | | 概述 | Comprehensively covers both fundamental and advanced topics related to data science.Presents data pre-processing, classification, clustering, text and pattern mining, deep learning, regression analysi | | 圖書封面 |  | | 描述 | .This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. .The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general 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 presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge An | | 出版日期 | Textbook 2023Latest edition | | 關(guān)鍵詞 | Data Science; Data Analytics; Text Mining; Deep Learning; Frequent Pattern Mining; Regression Analysis; Wa | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-031-17442-1 | | isbn_softcover | 978-3-031-17441-4 | | isbn_ebook | 978-3-031-17442-1 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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