Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
- Hardcover
- New
Condition: New
£ 52.16
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 lan.
Seller Inventory # 668447494
- Title
- Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
- Author
- Emmert-Streib, Frank|Moutari, Salissou|Dehmer, Matthias
- Publisher
- Springer, Berlin|Springer International Publishing|Springer
- Publication year
- 2022
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3031133382
- ISBN 13
- 9783031133381
"Synopsis" may belong to another edition of this title.
About the Author
Frank Emmert-Streib is Professor of Data Science at Tampere University (Finland). He leads the Predictive Society and Data Analytics Lab, which pursues innovative research in deep learning and natural language processing. The Lab develops and applies high-dimensional methods in machine learning, statistics, and artificial intelligence that can be used to extract knowledge from data in the fields of biology, medicine, social media, social sciences, marketing, or business.
Salissou Moutari is Senior Lecturer at Queen’s University Belfast (UK) and Interim Director of Research of the Mathematical Science Research Centre (MSRC). His research interests include mathematical modelling, optimization, machine learning and data science, and the applications of these methods to problems from traffic, transportation and distribution systems, production planning and industrial processes.
Matthias Dehmer is Professor at UMIT (Austria) and also has a position at Swiss Distance University of Applied Sciences, Brig, Switzerland. His research interests are in complex networks, complexity, data science, machine learning, big data analytics, and information theory. In particular, he is working on machine learning based methods to analyse high-dimensional data.
"About the title" may belong to another edition of this title.
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