TY  - BOOK
AU  - Emmert-Streib,Frank
AU  - Dehmer,Matthias
AU  - Moutari,Salissou
TI  - Mathematical Foundations of Data Science Using R
T2  - De Gruyter STEM
SN  - 9783110795882
AV  - QA76.9.M35 E46 2022
U1  - 004.0151 23/eng/20221230
PY  - 2022///]
CY  - München, Wien : 
PB  - De Gruyter Oldenbourg, 
KW  - Computer science
KW  - Mathematics
KW  - Computational Statistics
KW  - Data Analytics
KW  - Data Science
KW  - R for Genomics
KW  - COMPUTERS / Database Management / Data Mining
KW  - bisacsh
KW  - Data Analysis
N1  - 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; restricted access; Issued also in print
N2  - 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
UR  - https://doi.org/10.1515/9783110796063
UR  - https://www.degruyter.com/isbn/9783110796063
UR  - https://www.degruyter.com/document/cover/isbn/9783110796063/original
ER  -