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Please note that books with a 10-20 working days delivery time will not arrive before Christmas.
A01=Frank Emmert-Streib
A01=Matthias Dehmer
A01=Salissou Moutari
Age Group_Uncategorized
Age Group_Uncategorized
Author_Frank Emmert-Streib
Author_Matthias Dehmer
Author_Salissou Moutari
automatic-update
Category1=Non-Fiction
Category=TJK
Category=UNF
Category=UYQ
Category=UYQE
Category=UYQM
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€50 to €100
PS=Active
softlaunch

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

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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Current price €53.19
Original price €55.99
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A01=Frank Emmert-StreibA01=Matthias DehmerA01=Salissou MoutariAge Group_UncategorizedAuthor_Frank Emmert-StreibAuthor_Matthias DehmerAuthor_Salissou Moutariautomatic-updateCategory1=Non-FictionCategory=TJKCategory=UNFCategory=UYQCategory=UYQECategory=UYQMCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Activesoftlaunch

Will deliver when available. Publication date 25 Oct 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 04 Oct 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031133411

About Frank Emmert-StreibMatthias DehmerSalissou Moutari

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 Queens 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.

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