Mathematical Foundations of Data Science Using R / (Record no. 84496)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05130nam a22009855i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9783110796063 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730161624.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230529t20222022gw fo d z eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783110796063 |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 004.0151 |
| 100 1# - AUTHOR NAME | |
| Author | Emmert-Streib, Frank, |
| 245 10 - TITLE STATEMENT | |
| Title | Mathematical Foundations of Data Science Using R / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (XVI, 408 p.) |
| 490 0# - SERIES STATEMENT | |
| Series statement | De Gruyter STEM |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Mathematics. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Dehmer, Matthias, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Moutari, Salissou, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1515/9783110796063 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/isbn/9783110796063 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/document/cover/isbn/9783110796063/original |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | München ; |
| -- | Wien : |
| -- | De Gruyter Oldenbourg, |
| -- | [2022] |
| 264 #4 - | |
| -- | ©2022 |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 588 0# - | |
| -- | Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023) |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Statistics. |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Analytics. |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Science. |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | R for Genomics. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Database Management / Data Mining. |
| 912 ## - | |
| -- | 978-3-11-076682-0 DG Plus DeG Package 2022 Part 1 |
| -- | 2022 |
| 912 ## - | |
| -- | 978-3-11-099389-9 EBOOK PACKAGE COMPLETE 2022 English |
| -- | 2022 |
| 912 ## - | |
| -- | 978-3-11-099422-3 EBOOK PACKAGE Engineering, Computer Sciences 2022 English |
| -- | 2022 |
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| -- | ZDB-23-DEI |
| -- | 2022 |
| 912 ## - | |
| -- | ZDB-23-DGG |
| -- | 2022 |
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