Machine learning with R: Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
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: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK [u.a.]
Packt Publ.
2013
|
| Ausgabe: | 1. publ. |
| 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: | VII, 375 S. graph. Darst. |
| ISBN: | 9781782162148 1782162143 |
Internformat
MARC
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| 245 | 1 | 0 | |a Machine learning with R |b Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |c Brett Lantz |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a Birmingham, UK [u.a.] |b Packt Publ. |c 2013 | |
| 300 | |a VII, 375 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Community experience distilled | |
| 490 | 0 | |a Packt open source | |
| 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) | |
| 650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
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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 | BV042143155 |
| classification_rvk | QH 500 ST 250 ST 300 |
| ctrlnum | (OCoLC)891534550 (DE-599)BVBBV042143155 |
| 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 | 1. publ. |
| format | Book |
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| id | DE-604.BV042143155 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T01:13:45Z |
| institution | BVB |
| isbn | 9781782162148 1782162143 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027583091 |
| oclc_num | 891534550 |
| open_access_boolean | |
| owner | DE-11 DE-739 DE-1028 |
| owner_facet | DE-11 DE-739 DE-1028 |
| physical | VII, 375 S. graph. Darst. |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Packt Publ. |
| record_format | marc |
| series2 | Community experience distilled Packt open source |
| spelling | Lantz, Brett Verfasser (DE-588)1060647117 aut Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications Brett Lantz 1. publ. Birmingham, UK [u.a.] Packt Publ. 2013 VII, 375 S. graph. Darst. 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) Statistik (DE-588)4056995-0 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Datenaustausch (DE-588)4227289-0 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 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 |
| spellingShingle | Lantz, Brett Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd Datenaustausch (DE-588)4227289-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4705956-4 (DE-588)4227289-0 (DE-588)4193754-5 |
| title | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |
| title_auth | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |
| title_exact_search | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |
| title_full | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications Brett Lantz |
| title_fullStr | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications Brett Lantz |
| title_full_unstemmed | Machine learning with R Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications Brett Lantz |
| title_short | Machine learning with R |
| title_sort | machine learning with r learn how to use r to apply powerful machine learning methods and gain an insight into real world applications |
| title_sub | Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications |
| topic | R (Computer program language) / Handbooks, manuals, etc Machine learning / Statistical methods / Handbooks, manuals, etc Machine learning / Statistical methods R (Computer program language) Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd Datenaustausch (DE-588)4227289-0 gnd Maschinelles Lernen (DE-588)4193754-5 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) Statistik R Programm Datenaustausch Maschinelles Lernen |
| work_keys_str_mv | AT lantzbrett machinelearningwithrlearnhowtousertoapplypowerfulmachinelearningmethodsandgainaninsightintorealworldapplications |