Unsupervised learning with R: work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham
Packt Publishing
2015
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Schriftenreihe: | Community experience distilled
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Schlagworte: | |
Beschreibung: | Online resource; title from PDF title page (EBSCO, viewed December 28, 2015). - Includes index |
Beschreibung: | 1 online resource illustrations |
ISBN: | 9781785885815 1785885812 1785887092 9781785887093 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author | Pacheco, Erik Rodriguez |
author_facet | Pacheco, Erik Rodriguez |
author_role | aut |
author_sort | Pacheco, Erik Rodriguez |
author_variant | e r p er erp |
building | Verbundindex |
bvnumber | BV045351482 |
collection | ZDB-4-ITC |
ctrlnum | (ZDB-4-ITC)ocn933389472 (OCoLC)933389472 (DE-599)BVBBV045351482 |
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dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.502855133 |
dewey-search | 519.502855133 |
dewey-sort | 3519.502855133 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
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illustrated | Illustrated |
indexdate | 2024-07-10T08:15:43Z |
institution | BVB |
isbn | 9781785885815 1785885812 1785887092 9781785887093 |
language | English |
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psigel | ZDB-4-ITC |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Packt Publishing |
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series2 | Community experience distilled |
spelling | Pacheco, Erik Rodriguez Verfasser aut Unsupervised learning with R work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data Erik Rodriguez Pacheco Birmingham Packt Publishing 2015 1 online resource illustrations txt rdacontent c rdamedia cr rdacarrier Community experience distilled Online resource; title from PDF title page (EBSCO, viewed December 28, 2015). - Includes index MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Data mining fast Machine learning fast R (Computer program language) fast R (Computer program language) Machine learning Data mining Erscheint auch als Druck-Ausgabe Pacheco, Erik Rodriguez Unsupervised Learning with R. Birmingham : Packt Publishing Ltd, 2015 9781785887093 |
spellingShingle | Pacheco, Erik Rodriguez Unsupervised learning with R work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Data mining fast Machine learning fast R (Computer program language) fast R (Computer program language) Machine learning Data mining |
title | Unsupervised learning with R work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data |
title_auth | Unsupervised learning with R work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data |
title_exact_search | Unsupervised learning with R work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data |
title_full | Unsupervised learning with R work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data Erik Rodriguez Pacheco |
title_fullStr | Unsupervised learning with R work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data Erik Rodriguez Pacheco |
title_full_unstemmed | Unsupervised learning with R work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data Erik Rodriguez Pacheco |
title_short | Unsupervised learning with R |
title_sort | unsupervised learning with r work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data |
title_sub | work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data |
topic | MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Data mining fast Machine learning fast R (Computer program language) fast R (Computer program language) Machine learning Data mining |
topic_facet | MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Data mining Machine learning R (Computer program language) R (Computer program language) Machine learning Data mining |
work_keys_str_mv | AT pachecoerikrodriguez unsupervisedlearningwithrworkwithover40packagestodrawinferencesfromcomplexdatasetsandfindhiddenpatternsinrawunstructureddata |