Machine learning with R: learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2013
|
| Schriftenreihe: | Community experience distilled
|
| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (vii, 375 pages) illustrations |
| ISBN: | 9781782162155 1782162151 9781461949657 1461949653 1306070333 9781306070331 9781680153583 1680153587 |
Internformat
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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 |
| 264 | 1 | |a Birmingham, UK |b Packt Publishing |c 2013 | |
| 264 | 4 | |c 2013 | |
| 300 | |a 1 online resource (vii, 375 pages) |b illustrations | ||
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| 490 | 0 | |a Community experience distilled | |
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| 505 | 8 | |a Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks. Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or | |
| 650 | 7 | |a COMPUTERS / Machine Theory |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Programming Languages |2 bisacsh | |
| 650 | 7 | |a Machine learning / Statistical methods |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 650 | 4 | |a R (Computer program language) |v Handbooks, manuals, etc |a Machine learning |x Statistical methods |v Handbooks, manuals, etc | |
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Datensatz im Suchindex
| _version_ | 1804179174938640384 |
|---|---|
| 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 | BV045350357 |
| classification_rvk | QH 500 ST 250 ST 300 |
| collection | ZDB-4-ITC |
| contents | Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks. Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or |
| ctrlnum | (ZDB-4-ITC)ocn862380117 (OCoLC)862380117 (DE-599)BVBBV045350357 |
| dewey-full | 005.8 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.8 |
| dewey-search | 005.8 |
| dewey-sort | 15.8 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV045350357 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:41Z |
| institution | BVB |
| isbn | 9781782162155 1782162151 9781461949657 1461949653 1306070333 9781306070331 9781680153583 1680153587 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737010 |
| oclc_num | 862380117 |
| open_access_boolean | |
| physical | 1 online resource (vii, 375 pages) illustrations |
| psigel | ZDB-4-ITC |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Packt Publishing |
| record_format | marc |
| series2 | Community experience distilled |
| 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 Birmingham, UK Packt Publishing 2013 2013 1 online resource (vii, 375 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Community experience distilled Print version record Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks. Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or COMPUTERS / Machine Theory bisacsh COMPUTERS / Programming Languages bisacsh Machine learning / Statistical methods fast R (Computer program language) fast R (Computer program language) Handbooks, manuals, etc Machine learning Statistical methods Handbooks, manuals, etc Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Datenaustausch (DE-588)4227289-0 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Statistik (DE-588)4056995-0 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 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781782162148 (DE-604)BV042143155 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| 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 Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks. Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or COMPUTERS / Machine Theory bisacsh COMPUTERS / Programming Languages bisacsh Machine learning / Statistical methods fast R (Computer program language) fast R (Computer program language) Handbooks, manuals, etc Machine learning Statistical methods Handbooks, manuals, etc Maschinelles Lernen (DE-588)4193754-5 gnd Datenaustausch (DE-588)4227289-0 gnd R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4227289-0 (DE-588)4705956-4 (DE-588)4056995-0 |
| 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 | COMPUTERS / Machine Theory bisacsh COMPUTERS / Programming Languages bisacsh Machine learning / Statistical methods fast R (Computer program language) fast R (Computer program language) Handbooks, manuals, etc Machine learning Statistical methods Handbooks, manuals, etc Maschinelles Lernen (DE-588)4193754-5 gnd Datenaustausch (DE-588)4227289-0 gnd R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | COMPUTERS / Machine Theory COMPUTERS / Programming Languages Machine learning / Statistical methods R (Computer program language) R (Computer program language) Handbooks, manuals, etc Machine learning Statistical methods Handbooks, manuals, etc Maschinelles Lernen Datenaustausch R Programm Statistik |
| work_keys_str_mv | AT lantzbrett machinelearningwithrlearnhowtousertoapplypowerfulmachinelearningmethodsandgainaninsightintorealworldapplications |