Mathematical Foundations of Data Science Using R / / Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer.
The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
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VerfasserIn: | |
Place / Publishing House: | München ;, Wien : : De Gruyter Oldenbourg, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Series: | De Gruyter STEM
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Online Access: | |
Physical Description: | 1 online resource (XVI, 408 p.) |
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Other title: | Frontmatter -- Preface to the second edition -- Contents -- 1 Introduction -- Part I: Introduction to R -- 2 Overview of programming paradigms -- 3 Setting up and installing the R program -- 4 Installation of R packages -- 5 Introduction to programming in R -- 6 Creating R packages -- Part II: Graphics in R -- 7 Basic plotting functions -- 8 Advanced plotting functions: ggplot2 -- 9 Visualization of networks -- Part III: Mathematical basics of data science -- 10 Mathematics as a language for science -- 11 Computability and complexity -- 12 Linear algebra -- 13 Analysis -- 14 Differential equations -- 15 Dynamical systems -- 16 Graph theory and network analysis -- 17 Probability theory -- 18 Optimization -- Bibliography -- Index |
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Summary: | The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science. |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9783110796063 9783110766820 9783110993899 9783110994810 9783110994223 9783110994193 |
DOI: | 10.1515/9783110796063 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer. |