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

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

by Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer

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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.<p></p>

Details

Format
Hardcover
Pages
575
Publisher
Springer International Publishing
Language
EN
Edition
1
ISBN-13
9783031133381
ISBN-10
3031133382

Categories

Computers, Artificial Intelligence, Technology & Engineering, Engineering (General)