Mathematical Foundations of Data Science Using R / / Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer.
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...
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| Place / Publishing House: | München ;, Wien : : De Gruyter Oldenbourg, , [2022] ©2022 |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | De Gruyter STEM
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| Physical Description: | 1 online resource (XVI, 408 p.) |
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Emmert-Streib, Frank, author. aut http://id.loc.gov/vocabulary/relators/aut Mathematical Foundations of Data Science Using R / Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer. München ; Wien : De Gruyter Oldenbourg, [2022] ©2022 1 online resource (XVI, 408 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter STEM Frontmatter -- Preface to the second edition -- Contents -- 1 Introduction -- Part I: Introduction to R -- 2 Overview of programming paradigms -- 3 Setting up and installing the R program -- 4 Installation of R packages -- 5 Introduction to programming in R -- 6 Creating R packages -- Part II: Graphics in R -- 7 Basic plotting functions -- 8 Advanced plotting functions: ggplot2 -- 9 Visualization of networks -- Part III: Mathematical basics of data science -- 10 Mathematics as a language for science -- 11 Computability and complexity -- 12 Linear algebra -- 13 Analysis -- 14 Differential equations -- 15 Dynamical systems -- 16 Graph theory and network analysis -- 17 Probability theory -- 18 Optimization -- Bibliography -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023) Computer science Mathematics. Computational Statistics. Data Analytics. Data Science. R for Genomics. COMPUTERS / Database Management / Data Mining. bisacsh Data Analysis. Dehmer, Matthias, author. aut http://id.loc.gov/vocabulary/relators/aut Moutari, Salissou, author. aut http://id.loc.gov/vocabulary/relators/aut Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 9783110766820 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 English 9783110993899 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 9783110994810 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 English 9783110994223 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 9783110994193 ZDB-23-DEI EPUB 9783110796179 print 9783110795882 https://doi.org/10.1515/9783110796063 https://www.degruyter.com/isbn/9783110796063 Cover https://www.degruyter.com/document/cover/isbn/9783110796063/original |
| language |
English |
| format |
eBook |
| author |
Emmert-Streib, Frank, Emmert-Streib, Frank, Dehmer, Matthias, Moutari, Salissou, |
| spellingShingle |
Emmert-Streib, Frank, Emmert-Streib, Frank, Dehmer, Matthias, Moutari, Salissou, Mathematical Foundations of Data Science Using R / De Gruyter STEM Frontmatter -- Preface to the second edition -- Contents -- 1 Introduction -- Part I: Introduction to R -- 2 Overview of programming paradigms -- 3 Setting up and installing the R program -- 4 Installation of R packages -- 5 Introduction to programming in R -- 6 Creating R packages -- Part II: Graphics in R -- 7 Basic plotting functions -- 8 Advanced plotting functions: ggplot2 -- 9 Visualization of networks -- Part III: Mathematical basics of data science -- 10 Mathematics as a language for science -- 11 Computability and complexity -- 12 Linear algebra -- 13 Analysis -- 14 Differential equations -- 15 Dynamical systems -- 16 Graph theory and network analysis -- 17 Probability theory -- 18 Optimization -- Bibliography -- Index |
| author_facet |
Emmert-Streib, Frank, Emmert-Streib, Frank, Dehmer, Matthias, Moutari, Salissou, Dehmer, Matthias, Dehmer, Matthias, Moutari, Salissou, Moutari, Salissou, |
| author_variant |
f e s fes f e s fes m d md s m sm |
| author_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
| author2 |
Dehmer, Matthias, Dehmer, Matthias, Moutari, Salissou, Moutari, Salissou, |
| author2_variant |
m d md s m sm |
| author2_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
| author_sort |
Emmert-Streib, Frank, |
| title |
Mathematical Foundations of Data Science Using R / |
| title_full |
Mathematical Foundations of Data Science Using R / Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer. |
| title_fullStr |
Mathematical Foundations of Data Science Using R / Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer. |
| title_full_unstemmed |
Mathematical Foundations of Data Science Using R / Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer. |
| title_auth |
Mathematical Foundations of Data Science Using R / |
| title_alt |
Frontmatter -- Preface to the second edition -- Contents -- 1 Introduction -- Part I: Introduction to R -- 2 Overview of programming paradigms -- 3 Setting up and installing the R program -- 4 Installation of R packages -- 5 Introduction to programming in R -- 6 Creating R packages -- Part II: Graphics in R -- 7 Basic plotting functions -- 8 Advanced plotting functions: ggplot2 -- 9 Visualization of networks -- Part III: Mathematical basics of data science -- 10 Mathematics as a language for science -- 11 Computability and complexity -- 12 Linear algebra -- 13 Analysis -- 14 Differential equations -- 15 Dynamical systems -- 16 Graph theory and network analysis -- 17 Probability theory -- 18 Optimization -- Bibliography -- Index |
| title_new |
Mathematical Foundations of Data Science Using R / |
| title_sort |
mathematical foundations of data science using r / |
| series |
De Gruyter STEM |
| series2 |
De Gruyter STEM |
| publisher |
De Gruyter Oldenbourg, |
| publishDate |
2022 |
| physical |
1 online resource (XVI, 408 p.) Issued also in print. |
| contents |
Frontmatter -- Preface to the second edition -- Contents -- 1 Introduction -- Part I: Introduction to R -- 2 Overview of programming paradigms -- 3 Setting up and installing the R program -- 4 Installation of R packages -- 5 Introduction to programming in R -- 6 Creating R packages -- Part II: Graphics in R -- 7 Basic plotting functions -- 8 Advanced plotting functions: ggplot2 -- 9 Visualization of networks -- Part III: Mathematical basics of data science -- 10 Mathematics as a language for science -- 11 Computability and complexity -- 12 Linear algebra -- 13 Analysis -- 14 Differential equations -- 15 Dynamical systems -- 16 Graph theory and network analysis -- 17 Probability theory -- 18 Optimization -- Bibliography -- Index |
| isbn |
9783110796063 9783110766820 9783110993899 9783110994810 9783110994223 9783110994193 9783110796179 9783110795882 |
| callnumber-first |
Q - Science |
| callnumber-subject |
QA - Mathematics |
| callnumber-label |
QA76 |
| callnumber-sort |
QA 276.9 M35 E46 42022 |
| url |
https://doi.org/10.1515/9783110796063 https://www.degruyter.com/isbn/9783110796063 https://www.degruyter.com/document/cover/isbn/9783110796063/original |
| illustrated |
Not Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
004 - Data processing & computer science |
| dewey-full |
004.0151 |
| dewey-sort |
14.0151 |
| dewey-raw |
004.0151 |
| dewey-search |
004.0151 |
| doi_str_mv |
10.1515/9783110796063 |
| oclc_num |
1350572096 |
| work_keys_str_mv |
AT emmertstreibfrank mathematicalfoundationsofdatascienceusingr AT dehmermatthias mathematicalfoundationsofdatascienceusingr AT moutarisalissou mathematicalfoundationsofdatascienceusingr |
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n |
| ids_txt_mv |
(DE-B1597)626130 (OCoLC)1350572096 |
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cr |
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Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 English Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 |
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