Mathematical Foundations of Data Science Using R / / Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
• VerfasserIn: Emmert-Streib, Frank,; Dehmer, Matthias,; Moutari, Salissou,
• Place / Publishing House: München ;, Wien : : De Gruyter Oldenbourg, , [2022]; ©2022
• Year of Publication: 2022
• Language: English
• Series: De Gruyter STEM
• Physical Description: 1 online resource (XVI, 408 p.)
• 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
• 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.

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.