Learning Data Mining with R:
This book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Olton Birmingham
Packt Publishing
2015
|
| Schlagwörter: | |
| Links: | http://site.ebrary.com/lib/erlangen/Doc?id=11015156 |
| Zusammenfassung: | This book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining packages is necessary; however, you should have a basic understanding of data mining concepts and processes |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Umfang: | 1 online resource (348 pages) |
| ISBN: | 9781783982110 9781783982103 |
Internformat
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| discipline | Mathematik |
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| id | DE-604.BV043617496 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:41:00Z |
| institution | BVB |
| isbn | 9781783982110 9781783982103 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029031555 |
| oclc_num | 903966642 |
| open_access_boolean | |
| owner | DE-29 |
| owner_facet | DE-29 |
| physical | 1 online resource (348 pages) |
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| publishDate | 2015 |
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| spelling | Makhabel, Bater Verfasser (DE-588)106939971X aut Learning Data Mining with R Olton Birmingham Packt Publishing 2015 © 2015 1 online resource (348 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources This book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining packages is necessary; however, you should have a basic understanding of data mining concepts and processes Data mining R (Computer program language) Erscheint auch als Druck-Ausgabe Makhabel, Bater Learning Data Mining with R |
| spellingShingle | Makhabel, Bater Learning Data Mining with R Data mining R (Computer program language) |
| title | Learning Data Mining with R |
| title_auth | Learning Data Mining with R |
| title_exact_search | Learning Data Mining with R |
| title_full | Learning Data Mining with R |
| title_fullStr | Learning Data Mining with R |
| title_full_unstemmed | Learning Data Mining with R |
| title_short | Learning Data Mining with R |
| title_sort | learning data mining with r |
| topic | Data mining R (Computer program language) |
| topic_facet | Data mining R (Computer program language) |
| work_keys_str_mv | AT makhabelbater learningdataminingwithr |