Machine learning with R: discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R
Contents: Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regress...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Birmingham, UK ; Mumbai
Packt Publishing
2015
|
Ausgabe: | Second edition |
Schriftenreihe: | Community experience distilled
Packt open source |
Schlagworte: | |
Zusammenfassung: | Contents: Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regression methods -- Black box methods : neural networks and support vector machines -- Finding patterns : market basket analysis using association rules -- Finding groups of data : clustering with k-means -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics. |
Beschreibung: | XIII, 426 Seiten Illustrationen, Diagramme |
ISBN: | 9781784393908 |
Internformat
MARC
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245 | 1 | 0 | |a Machine learning with R |b discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R |c Brett Lantz |
250 | |a Second edition | ||
264 | 1 | |a Birmingham, UK ; Mumbai |b Packt Publishing |c 2015 | |
300 | |a XIII, 426 Seiten |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Community experience distilled | |
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520 | |a Contents: Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regression methods -- Black box methods : neural networks and support vector machines -- Finding patterns : market basket analysis using association rules -- Finding groups of data : clustering with k-means -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics. | ||
650 | 4 | |a R (Computer program language) / Handbooks, manuals, etc | |
650 | 4 | |a Machine learning / Statistical methods / Handbooks, manuals, etc | |
650 | 4 | |a Machine learning / Statistical methods | |
650 | 4 | |a R (Computer program language) | |
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Datensatz im Suchindex
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any_adam_object | |
author | Lantz, Brett |
author_GND | (DE-588)1060647117 |
author_facet | Lantz, Brett |
author_role | aut |
author_sort | Lantz, Brett |
author_variant | b l bl |
building | Verbundindex |
bvnumber | BV043426389 |
classification_rvk | QH 500 ST 250 ST 300 |
ctrlnum | (OCoLC)927817003 (DE-599)BVBBV043426389 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik Wirtschaftswissenschaften |
edition | Second edition |
format | Book |
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id | DE-604.BV043426389 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:25:35Z |
institution | BVB |
isbn | 9781784393908 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028844207 |
oclc_num | 927817003 |
open_access_boolean | |
owner | DE-739 DE-824 DE-858 DE-1102 DE-Aug4 DE-1043 DE-19 DE-BY-UBM DE-83 DE-11 |
owner_facet | DE-739 DE-824 DE-858 DE-1102 DE-Aug4 DE-1043 DE-19 DE-BY-UBM DE-83 DE-11 |
physical | XIII, 426 Seiten Illustrationen, Diagramme |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Packt Publishing |
record_format | marc |
series2 | Community experience distilled Packt open source |
spelling | Lantz, Brett Verfasser (DE-588)1060647117 aut Machine learning with R discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Brett Lantz Second edition Birmingham, UK ; Mumbai Packt Publishing 2015 XIII, 426 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Community experience distilled Packt open source Contents: Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regression methods -- Black box methods : neural networks and support vector machines -- Finding patterns : market basket analysis using association rules -- Finding groups of data : clustering with k-means -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics. R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Datenaustausch (DE-588)4227289-0 gnd rswk-swf R Programm (DE-588)4705956-4 s Datenaustausch (DE-588)4227289-0 s Statistik (DE-588)4056995-0 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Überarbeitung von 2013 978-1-78216-214-8 (DE-604)BV042143155 |
spellingShingle | Lantz, Brett Machine learning with R discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Datenaustausch (DE-588)4227289-0 gnd |
subject_GND | (DE-588)4705956-4 (DE-588)4056995-0 (DE-588)4193754-5 (DE-588)4227289-0 |
title | Machine learning with R discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R |
title_auth | Machine learning with R discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R |
title_exact_search | Machine learning with R discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R |
title_full | Machine learning with R discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Brett Lantz |
title_fullStr | Machine learning with R discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Brett Lantz |
title_full_unstemmed | Machine learning with R discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R Brett Lantz |
title_short | Machine learning with R |
title_sort | machine learning with r discover how to build machine learning algorithms prepare data and dig deep into data prediction techniques with r |
title_sub | discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R |
topic | R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Datenaustausch (DE-588)4227289-0 gnd |
topic_facet | R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) R Programm Statistik Maschinelles Lernen Datenaustausch |
work_keys_str_mv | AT lantzbrett machinelearningwithrdiscoverhowtobuildmachinelearningalgorithmspreparedataanddigdeepintodatapredictiontechniqueswithr |