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

Von:

Emmert-Streib, Frank [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: De Gruyter STEMVerlag: Berlin ; Boston : De Gruyter Oldenbourg, [2022]Copyright-Datum: © 2022Auflage: 2nd editionBeschreibung: 1 Online-Ressource (XV, 408 Seiten) : Illustrationen, DiagrammeISBN:

9783110796063
9783110796179

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Genre/Form:

Lehrbuch

Andere physische Formen: 9783110795882 | Erscheint auch als: Mathematical foundations of data science using R. Druck-Ausgabe 2nd edition. Berlin : De Gruyter Oldenbourg, 2022. XV, 408 SeitenDDC-Klassifikation:

004.0151 23
519.5

RVK: RVK: ST 601LOC-Klassifikation:

QA276.45.R3
QA76.9.M35

DOI: DOI: 10.1515/9783110796063Online-Ressourcen:

Zusammenfassung: 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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