Books

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

First edition 2023

About this book

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.

Audience: Advanced Undergraduate Students, Graduate Students

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Mathematical Foundations of Data Science Using R

Second edition 2022

About this book

In order to become a data scientist one needs solid mathematical foundations in a number of subjects. Furthermore, programming skills are indispensible to implement analysis methods.

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 consists of three main parts. Part one presents a comprehensive introduction to the programming language R. Part two introduces basic and advanced visualization techniques. Part three provides the mathematical basics of data science with chapters about linear algebra, analysis, differential equations, dynamical systems, graph theory and network analysis, probability theory and optimization.

Audience: Advanced Undergraduate Students, Graduate Students

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