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Titlebook: Data Science Concepts and Techniques with Applications; Usman Qamar,Muhammad Summair Raza Textbook 2023Latest edition The Editor(s) (if ap

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書目名稱Data Science Concepts and Techniques with Applications
編輯Usman Qamar,Muhammad Summair Raza
視頻videohttp://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Titlebook: Data Science Concepts and Techniques with Applications;  Usman Qamar,Muhammad Summair Raza Textbook 2023Latest edition The Editor(s) (if ap
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
doihttps://doi.org/10.1007/978-3-031-17442-1
isbn_softcover978-3-031-17441-4
isbn_ebook978-3-031-17442-1
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Clustering, already labeled classes in data, clustering involves unsupervised learning, i.e., we do not have any prior classes. We just collect similar objects in similar groups. For example, all the fruits with yellow color and having some length may be placed in one group, perhaps the group of banana fruit..
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Regression Analysis,ession with applications. The chapter will cover different methods and techniques of regression like simple (single-variant), multiple (multivariate), polynomial, and logistic regressions as well as some advanced methods of regression. The chapter will initially start with simple regression algorith
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Data Science Programming Language,n behind this is that a large community is using these languages and there are a lot of libraries available online for these. First Python will be discussed and in the later part, we will discuss the R programming language.
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