000			01454 a2200253 4500
005			20251112205310.0
008			241210b |||||||| |||| 00| 0 eng d
020			_a9783031133381 (hbk)
041			_aeng
082			_a006.31 _bEmmE
100			_aEmmert-Streib, Frank
245			_aElements of Data Science, Machine Learning and Artificial Intelligence Using R / _cFrank Emmert-Streib, Salissou Moutari and Matthias Dehmer
260			_aSwitzerland : _bSpringer, _c©2023
300			_axix, 575p.
520			_aThe 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.
650			_aData Science
650			_aArtificial Intelligence
650			_aMachine Learning
650			_aStatistics
650			_aMathematics
700			_aMoutari, Salissou
700			_aDehmer, Matthias
942			_cBK
999			_c6969 _d6969