Machine learning with R: expert techniques for predictive modeling
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: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham ; Mumbai
Packt
April 2019
|
Ausgabe: | Third edition |
Schlagworte: | |
Online-Zugang: | EFN01 FAB01 FHD01 FHI01 FHM01 FWS01 FWS02 UBR01 UBY01 |
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: | 1 Online-Ressource (459 Seiten) Illustrationen, Diagramme |
ISBN: | 9781788291552 |
Internformat
MARC
LEADER | 00000nmm a2200000 c 4500 | ||
---|---|---|---|
001 | BV045939200 | ||
003 | DE-604 | ||
005 | 20240313 | ||
007 | cr|uuu---uuuuu | ||
008 | 190617s2019 |||| o||u| ||||||eng d | ||
020 | |a 9781788291552 |9 978-1-78829-155-2 | ||
035 | |a (OCoLC)1104919509 | ||
035 | |a (DE-599)BVBBV045939200 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-863 |a DE-862 |a DE-706 |a DE-1050 |a DE-573 |a DE-355 |a DE-M347 |a DE-1043 | ||
082 | 0 | |a 006.3 | |
084 | |a QH 500 |0 (DE-625)141607: |2 rvk | ||
084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
084 | |a ST 601 |0 (DE-625)143682: |2 rvk | ||
100 | 1 | |a Lantz, Brett |e Verfasser |0 (DE-588)1060647117 |4 aut | |
245 | 1 | 0 | |a Machine learning with R |b expert techniques for predictive modeling |c Brett Lantz |
250 | |a Third edition | ||
264 | 1 | |a Birmingham ; Mumbai |b Packt |c April 2019 | |
300 | |a 1 Online-Ressource (459 Seiten) |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
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 R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Datenaustausch |0 (DE-588)4227289-0 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 0 | 1 | |a Statistik |0 (DE-588)4056995-0 |D s |
689 | 0 | 2 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
689 | 0 | 3 | |a Datenaustausch |0 (DE-588)4227289-0 |D s |
689 | 0 | 4 | |a Statistik |0 (DE-588)4056995-0 |D s |
689 | 0 | 5 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-78829-586-4 |w (DE-604)BV045884198 |
912 | |a ZDB-30-PQE |a ZDB-4-NLEBK |a ZDB-5-WPSE |a ZDB-221-PDA | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-031321479 | ||
966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2106304 |l EFN01 |p ZDB-4-NLEBK |x Aggregator |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/th-ab/detail.action?docID=5752784 |l FAB01 |p ZDB-30-PQE |x Aggregator |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=5752784 |l FHD01 |p ZDB-30-PQE |q FHD01_PQE_Kauf |x Aggregator |3 Volltext | |
966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005231.html |l FHI01 |p ZDB-221-PDA |x Aggregator |3 Volltext | |
966 | e | |u https://portal.igpublish.com/iglibrary/search/PACKT0005231.html |l FHM01 |p ZDB-221-PDA |q FHM_PDA_PDA_Kauf |x Verlag |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=5752784 |l FWS01 |p ZDB-30-PQE |x Aggregator |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=5752784 |l FWS02 |p ZDB-30-PQE |x Aggregator |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/uniregensburg-ebooks/detail.action?docID=5752784 |l UBR01 |p ZDB-30-PQE |q UBR Sammelbestellung 2021 |x Aggregator |3 Volltext | |
966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2106304 |l UBY01 |p ZDB-4-NLEBK |q UBY01_DDA20 |x Aggregator |3 Volltext |
Datensatz im Suchindex
DE-BY-FWS_katkey | 727139 |
---|---|
_version_ | 1806188490453417984 |
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 | BV045939200 |
classification_rvk | QH 500 ST 300 ST 250 ST 601 |
collection | ZDB-30-PQE ZDB-4-NLEBK ZDB-5-WPSE ZDB-221-PDA |
ctrlnum | (OCoLC)1104919509 (DE-599)BVBBV045939200 |
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 | Third edition |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04003nmm a2200649 c 4500</leader><controlfield tag="001">BV045939200</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240313 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190617s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781788291552</subfield><subfield code="9">978-1-78829-155-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1104919509</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045939200</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-1043</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 500</subfield><subfield code="0">(DE-625)141607:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 601</subfield><subfield code="0">(DE-625)143682:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lantz, Brett</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1060647117</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning with R</subfield><subfield code="b">expert techniques for predictive modeling</subfield><subfield code="c">Brett Lantz</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Third edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ; Mumbai</subfield><subfield code="b">Packt</subfield><subfield code="c">April 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (459 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">R (Computer program language) / Handbooks, manuals, etc</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning / Statistical methods / Handbooks, manuals, etc</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning / Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenaustausch</subfield><subfield code="0">(DE-588)4227289-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Datenaustausch</subfield><subfield code="0">(DE-588)4227289-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-78829-586-4</subfield><subfield code="w">(DE-604)BV045884198</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-4-NLEBK</subfield><subfield code="a">ZDB-5-WPSE</subfield><subfield code="a">ZDB-221-PDA</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031321479</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2106304</subfield><subfield code="l">EFN01</subfield><subfield code="p">ZDB-4-NLEBK</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/th-ab/detail.action?docID=5752784</subfield><subfield code="l">FAB01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=5752784</subfield><subfield code="l">FHD01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">FHD01_PQE_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005231.html</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/PACKT0005231.html</subfield><subfield code="l">FHM01</subfield><subfield code="p">ZDB-221-PDA</subfield><subfield code="q">FHM_PDA_PDA_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=5752784</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=5752784</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/uniregensburg-ebooks/detail.action?docID=5752784</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">UBR Sammelbestellung 2021</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2106304</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-4-NLEBK</subfield><subfield code="q">UBY01_DDA20</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV045939200 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T14:32:53Z |
institution | BVB |
isbn | 9781788291552 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031321479 |
oclc_num | 1104919509 |
open_access_boolean | |
owner | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-706 DE-1050 DE-573 DE-355 DE-BY-UBR DE-M347 DE-1043 |
owner_facet | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-706 DE-1050 DE-573 DE-355 DE-BY-UBR DE-M347 DE-1043 |
physical | 1 Online-Ressource (459 Seiten) Illustrationen, Diagramme |
psigel | ZDB-30-PQE ZDB-4-NLEBK ZDB-5-WPSE ZDB-221-PDA ZDB-30-PQE FHD01_PQE_Kauf ZDB-221-PDA FHM_PDA_PDA_Kauf ZDB-30-PQE UBR Sammelbestellung 2021 ZDB-4-NLEBK UBY01_DDA20 |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Packt |
record_format | marc |
spellingShingle | Lantz, Brett Machine learning with R expert techniques for predictive modeling 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 Datenaustausch (DE-588)4227289-0 gnd Statistik (DE-588)4056995-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4705956-4 (DE-588)4227289-0 (DE-588)4056995-0 (DE-588)4193754-5 |
title | Machine learning with R expert techniques for predictive modeling |
title_auth | Machine learning with R expert techniques for predictive modeling |
title_exact_search | Machine learning with R expert techniques for predictive modeling |
title_full | Machine learning with R expert techniques for predictive modeling Brett Lantz |
title_fullStr | Machine learning with R expert techniques for predictive modeling Brett Lantz |
title_full_unstemmed | Machine learning with R expert techniques for predictive modeling Brett Lantz |
title_short | Machine learning with R |
title_sort | machine learning with r expert techniques for predictive modeling |
title_sub | expert techniques for predictive modeling |
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 Datenaustausch (DE-588)4227289-0 gnd Statistik (DE-588)4056995-0 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) R Programm Datenaustausch Statistik Maschinelles Lernen |
work_keys_str_mv | AT lantzbrett machinelearningwithrexperttechniquesforpredictivemodeling |