TY - BOOK

T1 - Elements of data science, machine learning, and artificial intelligence using R

AU - Emmert-Streib, Frank

AU - Moutari, Salissou

AU - Dehmer, Matthias

PY - 2023/10/4

Y1 - 2023/10/4

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-031-13339-8

DO - 10.1007/978-3-031-13339-8

M3 - Edited book

SN - 9783031133381

SN - 9783031133411

BT - Elements of data science, machine learning, and artificial intelligence using R

PB - Springer Cham

ER -