Mathematical Foundations of Data Science Using R

Mathematical Foundations of Data Science Using R
  • eBook:
    Mathematical Foundations of Data Science Using R
  • Author:
    Matthias Dehmer, Salissou Moutari, Frank Emmert-Streib
  • Edition:
  • Categories:
  • Data:
    May 18, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    300 pages
  • Format:

Book 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.


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

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