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Mathematical foundations of data science using R / Frank Emmert-Streib, Salissou Moutari, and Matthias Dehmer

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: De Gruyter STEMPublisher: Berlin ; Boston : De Gruyter Oldenbourg, [2022]Copyright date: © 2022Edition: 2nd editionDescription: 1 Online-Ressource (XV, 408 Seiten) : Illustrationen, DiagrammeISBN:
  • 9783110796063
  • 9783110796179
Subject(s): Genre/Form: Additional physical formats: 9783110795882 | Erscheint auch als: Mathematical foundations of data science using R. Druck-Ausgabe 2nd edition. Berlin : De Gruyter Oldenbourg, 2022. XV, 408 SeitenDDC classification:
  • 004.0151 23
  • 519.5
RVK: RVK: ST 601LOC classification:
  • QA276.45.R3
  • QA76.9.M35
DOI: DOI: 10.1515/9783110796063Online resources: Summary: 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. Provides a comprehensive mathematical foundation of data science. Includes all the main aspects of programming in R. Contains complete practical examples with R. Updated and corrected new edition.PPN: PPN: 1807241181Package identifier: Produktsigel: ZDB-23-DEI | ZDB-23-DGG | ZDB-23-OTI | EBA-EBKALL | EBA-ECL-CHCOMSGSEN | EBA-ECL-LAEC | EBA-EEBKALL | EBA-ESSHALL | EBA-ESTMALL | EBA-SSHALL | EBA-STMALL | GBV-deGruyter-alles | EBA-CL-CHCOMSGSEN | EBA-CL-LAEC | EBA-DGALL | BSZ-23-EBA-C1UB | EBA-BACKALL | EBA-EBACKALL
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