Mathematical Foundations of Data Science Using R

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. 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 Frank Emmert-streib, Salissou Moutari, Matthias Dehmer. Issued Also In Print. Mode Of Access: Internet Via World Wide Web. In English.