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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
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Category1=Non-Fiction
Category=KCH
Category=PDR
Category=UN
Category=UY
COP=Germany
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
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Mathematical Foundations of Data Science Using R

The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science.

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Original price €94.99
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A01=Frank Emmert-StreibA01=Matthias DehmerA01=Salissou MoutariAge Group_UncategorizedAuthor_Frank Emmert-StreibAuthor_Matthias DehmerAuthor_Salissou Moutariautomatic-updateCategory1=Non-FictionCategory=KCHCategory=PDRCategory=UNCategory=UYCOP=GermanyDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 1149g
  • Dimensions: 170 x 240mm
  • Publication Date: 24 Oct 2022
  • Publisher: De Gruyter
  • Publication City/Country: Germany
  • Language: English
  • ISBN13: 9783110795882

About Frank Emmert-StreibMatthias DehmerSalissou Moutari

Prof. Dr. Frank Emmert-StreibTampere University Finnland Frank Emmert-Streib is a Professor of Data Science at Tampere University Finland in the Faculty of Information Technology and Communication Sciences. His research interests are in the fields machine learning artificial intelligence statistics and network science in the development and application of methods for the analysis of big data from genomics finance business and social media. Prof Dr Matthias DehmerUMIT-The Health and Life Science UniversityHall Tyrol Austria Matthias Dehmer is Professor at UMIT - The Health and Life Sciences University. Also he holds a Guest Professorship at Nankai University. His research interests are in complex networks complexity data science predictive analytics machine learning and information theory. He published more than 225 publications in computer science and related disciplines. Dr. Salissou MoutariQueens University Belfast UK Salissou Moutari is a Senior Lecturer at Queen's University Belfast (UK) Centre for Statistical Science and Operational Research. He has more than 10 years of experience in Operational Research Statistical Data Analysis Predictive Prescriptive and Decisive Analytics and also dealt with Mathematical Modelling Computational Mathematics and Complex Systems Analysis. He is currently working in Operational Research and Computational Mathematics. He published more than 35 peer-reviewed publications.

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