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

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

EnglishHardback
Emmert-Streib Frank
Springer, Berlin
EAN: 9783031133381
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Detailed information

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.

EAN 9783031133381
ISBN 3031133382
Binding Hardback
Publisher Springer, Berlin
Publication date October 4, 2023
Pages 575
Language English
Dimensions 235 x 155
Country Switzerland
Authors Dehmer Matthias; Emmert-Streib Frank; Moutari, Salissou
Illustrations 156 Illustrations, color; 6 Illustrations, black and white; XIX, 575 p. 162 illus., 156 illus. in color.
Edition 1st ed. 2023

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