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.
| ISBN: | 9783031133381 |
| Publication date: | 4th October 2023 |
| Author: | Frank EmmertStreib, Salissou Moutari, Matthias Dehmer |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 575 pages |
| Genres: |
Artificial intelligence Expert systems / knowledge-based systems Machine learning Communications engineering / telecommunications Data mining |
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.
Data Science, Machine Learning, and Artificial Intelligence Using R features in the following genres: Artificial intelligence, Expert systems / knowledge-based systems, Machine learning, Communications engineering / telecommunications, Data mining
Data Science, Machine Learning, and Artificial Intelligence Using R is available in Hardback
Data Science, Machine Learning, and Artificial Intelligence Using R was written by Frank EmmertStreib, Salissou Moutari, Matthias Dehmer and published by Springer an imprint of Springer International Publishing
Data Science, Machine Learning, and Artificial Intelligence Using R has 575 pages
£49.49