Mathematical Foundations of Data Science Using R
Description
In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R programming language which has become the indispensable tool for data sciences. Thus it delivers the reader the skills needed to build own tool kits of a modern data scientist.
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Persons
Frank Emmert-Streib , Tampere, Finland; Salissou Moutari , Belfast, UK; Matthias Dehmer , Hall, Austria
Content
- Intro
- Preface
- 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
