Elements of Data Science, Machine Learning and Artificial Intelligence Using R / Frank Emmert-Streib, Salissou Moutari and Matthias Dehmer

By:

Emmert-Streib, Frank

Contributor(s):

9783031133381 (hbk)

Subject(s):

DDC classification:

006.31 EmmE

Summary: 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.

List(s) this item appears in: New Arrivals 01-15 January 2026, Vol. 07, Issue 01

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Books	Indian Institute of Technology Tirupati General Stacks	Computer Science	006.31 EmmE (11993) (Browse shelf(Opens below))	Available	11993

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.

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