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

Format:

Book

Author/Creator:

Emmert-Streib, Frank, Author.

Dehmer, Matthias, Author.

Moutari, Salissou, Author.

Series:

De Gruyter STEM

Language:

English

Subjects (All):

Data mining.

Physical Description:

1 online resource (430 pages) : illustrations

Place of Publication:

München ; Wien : De Gruyter Oldenbourg, [2020]

Language Note:

In English.

Summary:

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.

Contents:

Frontmatter

Preface

Contents

1. Introduction

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

7. Basic plotting functions

8. Advanced plotting functions: ggplot2

9. Visualization of networks

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

Notes:

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Jun 2020)

ISBN:

3-11-056499-8

OCLC:

1158122101