|
|
|
|
LEADER |
10509cam a2201633 4500 |
001 |
183-1765978874 |
003 |
DE-627 |
005 |
20231005091619.0 |
007 |
tu |
008 |
210809s2021 xxu||||| 00| ||eng c |
020 |
|
|
|a 9781071614174
|c Festeinband
|9 978-1-07-161417-4
|
020 |
|
|
|a 9781071614204
|c Paperback
|9 978-1-07-161420-4
|
024 |
7 |
|
|a 10.1007/978-1-0716-1418-1
|2 doi
|
035 |
|
|
|a (DE-627)1765978874
|
035 |
|
|
|a (DE-599)KXP1765978874
|
035 |
|
|
|a (OCoLC)1268923833
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rda
|
041 |
|
|
|a eng
|
044 |
|
|
|c XD-US
|
082 |
0 |
|
|a 519.5
|q BSZ
|
084 |
|
|
|a SK 830
|2 rvk
|0 (DE-625)rvk/143259:
|
084 |
|
|
|a QH 233
|2 rvk
|0 (DE-625)rvk/141548:
|
084 |
|
|
|a QH 740
|2 rvk
|0 (DE-625)rvk/141614:
|
084 |
|
|
|a ST 250
|2 rvk
|0 (DE-625)rvk/143626:
|
084 |
|
|
|a QH 231
|2 rvk
|0 (DE-625)rvk/141546:
|
084 |
|
|
|a ST 601
|2 rvk
|0 (DE-625)rvk/143682:
|
084 |
|
|
|a SK 840
|2 rvk
|0 (DE-625)rvk/143261:
|
084 |
|
|
|a 31.73
|2 bkl
|
084 |
|
|
|a 54.72
|2 bkl
|
084 |
|
|
|a 83.03
|2 bkl
|
084 |
|
|
|a 85.03
|2 bkl
|
100 |
1 |
|
|a James, Gareth
|e VerfasserIn
|0 (DE-588)1038457327
|0 (DE-627)75743861X
|0 (DE-576)392417332
|4 aut
|
245 |
1 |
3 |
|a An introduction to statistical learning
|b with applications in R
|c Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
|
250 |
|
|
|a Second edition
|
264 |
|
1 |
|a New York, NY
|b Springer
|c [2021]
|
264 |
|
4 |
|c © 2021
|
300 |
|
|
|a xv, 607 Seiten
|b Illustrationen, Diagramme
|c 24 cm
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
490 |
0 |
|
|a Springer texts in statistics
|
650 |
|
0 |
|a Mathematical statistics
|
650 |
|
0 |
|a R (Computer program language)
|
650 |
|
0 |
|a Mathematical models
|
650 |
|
0 |
|a Statistics
|
650 |
0 |
7 |
|0 (DE-588)4056995-0
|0 (DE-627)106152955
|0 (DE-576)209119799
|a Statistik
|2 gnd
|
650 |
0 |
7 |
|0 (DE-588)4705956-4
|0 (DE-627)356147487
|0 (DE-576)215406362
|a R
|g Programm
|2 gnd
|
650 |
0 |
7 |
|0 (DE-588)1251244963
|0 (DE-627)1788644921
|a Statistisches Lernen
|2 gnd
|
650 |
0 |
7 |
|0 (DE-588)4167709-2
|0 (DE-627)10542319X
|0 (DE-576)209910631
|a Lineare Regression
|2 gnd
|
650 |
0 |
7 |
|0 (DE-588)7549235-0
|0 (DE-627)520314808
|0 (DE-576)259037508
|a Klassifikations- und Regressionsbaum
|2 gnd
|
650 |
0 |
7 |
|0 (DE-588)4288033-6
|0 (DE-627)10428367X
|0 (DE-576)210820004
|a Resampling
|2 gnd
|
650 |
0 |
7 |
|0 (DE-588)4191992-0
|0 (DE-627)105237906
|0 (DE-576)21007745X
|a Vektoranalysis
|2 gnd
|
650 |
0 |
7 |
|0 (DE-588)1135597375
|0 (DE-627)890512922
|0 (DE-576)489847412
|a Deep learning
|2 gnd
|
650 |
0 |
7 |
|0 (DE-588)4067601-8
|0 (DE-627)104649526
|0 (DE-576)209170409
|a Zensur
|2 gnd
|
650 |
|
4 |
|a Mathematical models
|
650 |
|
4 |
|a Mathematical statistics
|
650 |
|
4 |
|a R (Computer program language)
|
650 |
|
4 |
|a Statistics
|
655 |
|
7 |
|a Lehrbuch
|0 (DE-588)4123623-3
|0 (DE-627)104270187
|0 (DE-576)209561262
|2 gnd-content
|
655 |
|
7 |
|a Einführung
|0 (DE-588)4151278-9
|0 (DE-627)104450460
|0 (DE-576)209786884
|2 gnd-content
|
689 |
0 |
0 |
|D s
|0 (DE-588)4056995-0
|0 (DE-627)106152955
|0 (DE-576)209119799
|a Statistik
|2 gnd
|
689 |
0 |
1 |
|D s
|0 (DE-588)4705956-4
|0 (DE-627)356147487
|0 (DE-576)215406362
|a R
|g Programm
|2 gnd
|
689 |
0 |
|
|5 DE-101
|
689 |
1 |
0 |
|D s
|0 (DE-588)4056995-0
|0 (DE-627)106152955
|0 (DE-576)209119799
|a Statistik
|2 gnd
|
689 |
1 |
1 |
|D s
|0 (DE-588)4193754-5
|0 (DE-627)105224782
|0 (DE-576)21008944X
|a Maschinelles Lernen
|2 gnd
|
689 |
1 |
2 |
|D s
|0 (DE-588)4705956-4
|0 (DE-627)356147487
|0 (DE-576)215406362
|a R
|g Programm
|2 gnd
|
689 |
1 |
3 |
|D s
|0 (DE-588)4066517-3
|0 (DE-627)104791314
|0 (DE-576)209164905
|a Wirtschaftsstatistik
|2 gnd
|
689 |
1 |
|
|5 (DE-627)
|
689 |
2 |
0 |
|D s
|0 (DE-588)4129903-6
|0 (DE-627)105706523
|0 (DE-576)209614412
|a Regressionsanalyse
|2 gnd
|
689 |
2 |
1 |
|D s
|0 (DE-588)4288033-6
|0 (DE-627)10428367X
|0 (DE-576)210820004
|a Resampling
|2 gnd
|
689 |
2 |
2 |
|D s
|0 (DE-588)4134827-8
|0 (DE-627)104790636
|0 (DE-576)209655577
|a Lineares Modell
|2 gnd
|
689 |
2 |
3 |
|D s
|0 (DE-588)4347788-4
|0 (DE-627)156895994
|0 (DE-576)211488801
|a Entscheidungsbaum
|2 gnd
|
689 |
2 |
4 |
|D s
|0 (DE-588)4505517-8
|0 (DE-627)245346708
|0 (DE-576)213125757
|a Support-Vektor-Maschine
|2 gnd
|
689 |
2 |
5 |
|D s
|0 (DE-588)4070044-6
|0 (DE-627)106101536
|0 (DE-576)209179082
|a Cluster-Analyse
|2 gnd
|
689 |
2 |
|
|5 (DE-627)
|
700 |
1 |
|
|a Witten, Daniela
|e VerfasserIn
|0 (DE-588)108120849X
|0 (DE-627)845688642
|0 (DE-576)454037805
|4 aut
|
700 |
1 |
|
|a Hastie, Trevor
|d 1953-
|e VerfasserIn
|0 (DE-588)172128242
|0 (DE-627)697041832
|0 (DE-576)167899988
|4 aut
|
700 |
1 |
|
|a Tibshirani, Robert
|d 1956-
|e VerfasserIn
|0 (DE-588)172417740
|0 (DE-627)697358836
|0 (DE-576)167899996
|4 aut
|
776 |
1 |
|
|z 9781071614181
|c eBook
|
776 |
0 |
8 |
|i Erscheint auch als
|n Online-Ausgabe
|a James, Gareth
|t An introduction to statistical learning
|b Second edition
|d New York : Springer, 2021
|h 1 Online-Ressource (616 pages)
|w (DE-627)1767516126
|z 9781071614181
|
776 |
0 |
8 |
|i Erscheint auch als
|n Online-Ausgabe
|a James, Gareth
|t An introduction to statistical learning
|b Second edition
|d New York, NY : Springer, 2021
|h 1 Online-Ressource(xv, 607 Seiten)
|w (DE-627)1765220424
|z 9781071614181
|
776 |
0 |
8 |
|i Erscheint auch als
|n Online-Ausgabe
|a James, Gareth
|t An introduction to statistical learning
|b Second edition
|d New York : Springer, 2021
|h 1 Online-Ressource (xv, 607 pages)
|w (DE-627)1793539545
|z 9781071614181
|z 1071614185
|
856 |
4 |
2 |
|u https://www.gbv.de/dms/ilmenau/toc/1765978874.PDF
|m DE-601
|q application/pdf
|x Digitalisierung
|y Inhaltsverzeichnis
|3 Inhaltsverzeichnis
|
924 |
0 |
|
|a 4186396868
|b DE-18
|9 18
|c GBV
|d d
|g QH 740 J27 88690
|h 18/261
|
924 |
0 |
|
|a 4379080110
|b DE-18
|9 18
|c GBV
|d d
|g T JAM 55497
|h 18/228
|
924 |
0 |
|
|a 3942564165
|b DE-8
|9 8
|c GBV
|d c
|g De 7198
|h 16
|
924 |
0 |
|
|a 4344892097
|b DE-104
|9 104
|c GBV
|d d
|g CL 06 : III/200/6192
|h 104/06
|
924 |
0 |
|
|a 422092678X
|b DE-27
|9 27
|c GBV
|d c
|g WIR:GE:140:J27:(2):2021
|h J 142/WS
|
924 |
0 |
|
|a 3996225032
|b DE-Ilm1
|9 Ilm 1
|c GBV
|d c
|g MAT SK 840 J27(2)
|h 51
|
924 |
0 |
|
|a 3988312541
|b DE-547
|9 547
|c GBV
|d c
|g SK 830 J27(2)
|h LS
|
924 |
0 |
|
|a 413525215X
|b DE-7
|9 7
|c GBV
|d d
|g 16 : C 2010 Int
|h BBWISO
|
924 |
0 |
|
|a 3962820493
|b DE-28
|9 28
|c GBV
|d d
|g QH 231 J27(2)
|h 28/BB3-H406
|
924 |
0 |
|
|a 3963790687
|b DE-28
|9 28
|c GBV
|d c
|g SK 830 J27(2)
|h 28/BB1
|
924 |
0 |
|
|a 4007458936
|b DE-28
|9 28
|c GBV
|d c
|g QH 231 J27(2)
|h 28/BB3
|
924 |
0 |
|
|a 3980292142
|b DE-354
|9 354
|c GBV
|d b
|g QA 276.12''ME 5804,Aufl.2
|h Lehrbuch
|
924 |
0 |
|
|a 3985128901
|b DE-354
|9 354
|c GBV
|d c
|g QA 276.12''ME 5804,Aufl.2
|h Lehrbuch
|
924 |
0 |
|
|a 398512891X
|b DE-354
|9 354
|c GBV
|d c
|g QA 276.12''ME 5804,Aufl.2
|h Lehrbuch
|
924 |
0 |
|
|a 3985128928
|b DE-354
|9 354
|c GBV
|d c
|g QA 276.12''ME 5804,Aufl.2
|h Lehrbuch
|
924 |
0 |
|
|a 3985128936
|b DE-354
|9 354
|c GBV
|d c
|g QA 276.12''ME 5804,Aufl.2
|h Lehrbuch
|
924 |
0 |
|
|a 3985128944
|b DE-354
|9 354
|c GBV
|d c
|g QA 276.12''ME 5804,Aufl.2
|h Lehrbuch
|
924 |
0 |
|
|a 4231146721
|b DE-HIL3
|9 Hil 3
|c GBV
|d c
|g 519.2 Int (2)
|h F
|
924 |
0 |
|
|a 3914123826
|b DE-Luen4
|9 Lün 4
|c GBV
|d c
|g Math 1010.063
|h CAM
|
924 |
0 |
|
|a 4013874652
|b DE-715
|9 715
|c GBV
|d d
|g mat 721 DK 4507,2
|h 3075
|
924 |
0 |
|
|a 3989256602
|b DE-959
|9 959
|c GBV
|d c
|g TKK 271 770/2
|h W
|
924 |
0 |
|
|a 4001478390
|b DE-959
|9 959
|c GBV
|d c
|g TKK 271 770/2+1
|h W
|
924 |
0 |
|
|a 4190533149
|b DE-916
|9 916
|c GBV
|d c
|g MT R 061/2
|h WF
|
924 |
0 |
|
|a 4002480445
|b DE-H105
|9 H 105
|c GBV
|d d
|g 82 8° 109
|h H105-HF,C
|
924 |
0 |
|
|a 4329489384
|b DE-B1562
|9 B 1562
|c GBV
|d d
|g 03d 0335*2
|
924 |
0 |
|
|a 4171663881
|b DE-B1570
|9 B 1570
|c GBV
|d c
|g E.06.04_25 (2021)
|
924 |
0 |
|
|a 4229057660
|b DE-21
|9 21
|c BSZ
|d c
|g 63 A 142
|
924 |
0 |
|
|a 3997005699
|b DE-21-108
|9 21/108
|c BSZ
|d c
|g 5-GD 650.245
|h Handbibliothek Zurstiege
|
924 |
0 |
|
|a 400538823X
|b DE-291-407
|9 291/407
|c BSZ
|d b
|
924 |
0 |
|
|a 4003668464
|b DE-14
|9 14
|c BSZ
|d c
|
924 |
0 |
|
|a 3990989472
|b DE-352
|9 352
|c BSZ
|d c
|
924 |
0 |
|
|a 4020271119
|b DE-180
|9 180
|c BSZ
|d d
|g 371 QH 231 J27(2)
|h 371
|
924 |
0 |
|
|a 4206444978
|b DE-15
|9 15
|c BSZ
|d c
|
924 |
0 |
|
|a 4366385325
|b DE-15-292
|9 15/292
|c BSZ
|d c
|
924 |
0 |
|
|a 4423745704
|b DE-90
|9 90
|c BSZ
|d c
|
924 |
0 |
|
|a 4120361918
|b DE-31
|9 31
|c BSZ
|d c
|
924 |
0 |
|
|a 4104248770
|b DE-Zi4
|9 Zi 4
|c BSZ
|d c
|
924 |
0 |
|
|a 398258549X
|b DE-L189
|9 L 189
|c BSZ
|d c
|
924 |
0 |
|
|a 4213386929
|b DE-944
|9 944
|c BSZ
|d c
|g 482 Jam
|
924 |
0 |
|
|a 4348951713
|b DE-Mh35
|9 Mh 35
|c BSZ
|d c
|g MAT S 1000.83 (2)
|
924 |
0 |
|
|a 4291572336
|b DE-950
|9 950
|c BSZ
|d c
|g math 6/326
|
924 |
0 |
|
|a 4031251394
|b DE-Sa18
|9 Sa 18
|c BSZ
|d b
|
924 |
0 |
|
|a 3980710599
|b DE-1141
|9 1141
|c BSZ
|d d
|g SK 840 J27 I6(2)
|
936 |
r |
v |
|a SK 830
|b Statistische Entscheidungstheorie
|k Mathematik
|k Monografien
|k Wahrscheinlichkeitstheorie
|k Statistische Entscheidungstheorie
|0 (DE-627)1270877526
|0 (DE-625)rvk/143259:
|0 (DE-576)200877526
|
936 |
r |
v |
|a QH 233
|b Häufigkeitsverteilungen. Stichprobenverteilungen. Schätztheorie. Testtheorie. Statistische Entscheidungstheorie
|k Wirtschaftswissenschaften
|k Mathematik. Statistik. Ökonometrie. Unternehmensforschung
|k Statistik
|k Theoretische Statistik
|k Häufigkeitsverteilungen. Stichprobenverteilungen. Schätztheorie. Testtheorie. Statistische Entscheidungstheorie
|0 (DE-627)127149115X
|0 (DE-625)rvk/141548:
|0 (DE-576)20149115X
|
936 |
r |
v |
|a QH 740
|b Lernprozesse, Lerntheorien
|k Wirtschaftswissenschaften
|k Mathematik. Statistik. Ökonometrie. Unternehmensforschung
|k Wirtschaftsinformatik. Datenverarbeitung.
|k Systemtheorie
|k Lernprozesse, Lerntheorien
|0 (DE-627)1271739615
|0 (DE-625)rvk/141614:
|0 (DE-576)201739615
|
936 |
r |
v |
|a ST 250
|b Einzelne Programmiersprachen (A-Z)
|k Informatik
|k Monografien
|k Software und -entwicklung
|k Programmiersprachen
|k Einzelne Programmiersprachen (A-Z)
|0 (DE-627)1270877445
|0 (DE-625)rvk/143626:
|0 (DE-576)200877445
|
936 |
r |
v |
|a QH 231
|b Einführende Lehrbücher
|k Wirtschaftswissenschaften
|k Mathematik. Statistik. Ökonometrie. Unternehmensforschung
|k Statistik
|k Theoretische Statistik
|k Einführende Lehrbücher
|0 (DE-627)1271479206
|0 (DE-625)rvk/141546:
|0 (DE-576)201479206
|
936 |
r |
v |
|a ST 601
|b Einzelne Systeme (alphabetisch)
|k Informatik
|k Monografien
|k Einzelne Anwendungen der Datenverarbeitung
|k Datenverarbeitung in Anwendungsgebieten
|k Mathematik, Statistik
|k Einzelne Systeme (alphabetisch)
|0 (DE-627)127114283X
|0 (DE-625)rvk/143682:
|0 (DE-576)20114283X
|
936 |
r |
v |
|a SK 840
|b Spezielle statistische Verfahren
|k Mathematik
|k Monografien
|k Wahrscheinlichkeitstheorie
|k Spezielle statistische Verfahren
|0 (DE-627)1271481863
|0 (DE-625)rvk/143261:
|0 (DE-576)201481863
|
936 |
b |
k |
|a 31.73
|j Mathematische Statistik
|0 (DE-627)106418998
|
936 |
b |
k |
|a 54.72
|j Künstliche Intelligenz
|0 (DE-627)10641240X
|
936 |
b |
k |
|a 83.03
|j Methoden und Techniken der Volkswirtschaft
|0 (DE-627)106405373
|
936 |
b |
k |
|a 85.03
|j Methoden und Techniken der Betriebswirtschaft
|0 (DE-627)106417320
|
951 |
|
|
|a BO
|
980 |
|
|
|a 1765978874
|b 183
|c sid-183-col-kxpbbi
|
SOLR
_version_ |
1797788651340431360 |
author |
James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert |
author_facet |
James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert |
author_role |
aut, aut, aut, aut |
author_sort |
James, Gareth |
author_variant |
g j gj, d w dw, t h th, r t rt |
building |
Library A |
collection |
sid-183-col-kxpbbi |
ctrlnum |
(DE-627)1765978874, (DE-599)KXP1765978874, (OCoLC)1268923833 |
dewey-full |
519.5 |
dewey-hundreds |
500 - Natural sciences and mathematics |
dewey-ones |
519 - Probabilities and applied mathematics |
dewey-raw |
519.5 |
dewey-search |
519.5 |
dewey-sort |
3519.5 |
dewey-tens |
510 - Mathematics |
doi_str_mv |
10.1007/978-1-0716-1418-1 |
edition |
Second edition |
facet_avail |
Local |
facet_local_del330 |
Statistik, R, Maschinelles Lernen, Wirtschaftsstatistik, Regressionsanalyse, Resampling, Lineares Modell, Entscheidungsbaum, Support-Vektor-Maschine, Cluster-Analyse |
finc_class_facet |
Mathematik, Wirtschaftswissenschaften, Informatik |
fincclass_txtF_mv |
science-mathematics, economics, science-computerscience |
format |
Book |
format_access_txtF_mv |
Book, E-Book |
format_de14 |
Book, E-Book |
format_de15 |
Book, E-Book |
format_del152 |
Buch |
format_detail_txtF_mv |
text-print-monograph-independent |
format_dezi4 |
e-Book |
format_finc |
Book, E-Book |
format_legacy |
Book |
format_legacy_nrw |
Book, E-Book |
format_nrw |
Book, E-Book |
format_strict_txtF_mv |
Book |
genre |
Lehrbuch (DE-588)4123623-3 (DE-627)104270187 (DE-576)209561262 gnd-content, Einführung (DE-588)4151278-9 (DE-627)104450460 (DE-576)209786884 gnd-content |
genre_facet |
Lehrbuch, Einführung |
geogr_code |
not assigned |
geogr_code_person |
not assigned |
id |
183-1765978874 |
illustrated |
Not Illustrated |
imprint |
New York, NY, Springer, [2021] |
imprint_str_mv |
New York, NY: Springer, [2021] |
institution |
FID-BBI-DE-23 |
is_hierarchy_id |
|
is_hierarchy_title |
|
isbn |
9781071614174, 9781071614204 |
isbn_isn_mv |
9781071614181, 1071614185 |
language |
English |
last_indexed |
2024-04-30T19:21:01.341Z |
marc024a_ct_mv |
10.1007/978-1-0716-1418-1 |
marc_error |
[geogr_code]Unable to make public java.lang.AbstractStringBuilder java.lang.AbstractStringBuilder.append(java.lang.String) accessible: module java.base does not "opens java.lang" to unnamed module @64e01542 |
match_str |
james2021anintroductiontostatisticallearningwithapplicationsinr |
mega_collection |
K10plus Verbundkatalog |
oclc_num |
1268923833 |
physical |
xv, 607 Seiten; Illustrationen, Diagramme; 24 cm |
publishDate |
[2021], , © 2021 |
publishDateSort |
2021 |
publishPlace |
New York, NY, |
publisher |
Springer, |
record_format |
marcfinc |
record_id |
1765978874 |
recordtype |
marcfinc |
rvk_facet |
SK 830, QH 233, QH 740, ST 250, QH 231, ST 601, SK 840 |
rvk_label |
Mathematik, Monografien, Wahrscheinlichkeitstheorie, Statistische Entscheidungstheorie, Wirtschaftswissenschaften, Mathematik. Statistik. Ökonometrie. Unternehmensforschung, Statistik, Theoretische Statistik, Häufigkeitsverteilungen. Stichprobenverteilungen. Schätztheorie. Testtheorie. Statistische Entscheidungstheorie, Wirtschaftsinformatik. Datenverarbeitung., Systemtheorie, Lernprozesse, Lerntheorien, Informatik, Software und -entwicklung, Programmiersprachen, Einzelne Programmiersprachen (A-Z), Einführende Lehrbücher, Einzelne Anwendungen der Datenverarbeitung, Datenverarbeitung in Anwendungsgebieten, Mathematik, Statistik, Einzelne Systeme (alphabetisch), Spezielle statistische Verfahren |
rvk_path |
QH 720 - QH 740, QH 230 - QH 239, ST, SK 800, SQ - SU, ST 240 - ST 250, ST 600, ST 601, SA - SP, ST 600 - ST 690, Q, QH 740, QH 500 - QH 740, ST 320 - ST 690, QH, QH 233, SK, QH 231, QH 200 - QH 254, SK 840, SK 830, ST 230 - ST 285, ST 250 |
rvk_path_str_mv |
QH 720 - QH 740, QH 230 - QH 239, ST, SK 800, SQ - SU, ST 240 - ST 250, ST 600, ST 601, SA - SP, ST 600 - ST 690, Q, QH 740, QH 500 - QH 740, ST 320 - ST 690, QH, QH 233, SK, QH 231, QH 200 - QH 254, SK 840, SK 830, ST 230 - ST 285, ST 250 |
series2 |
Springer texts in statistics |
source_id |
183 |
spelling |
James, Gareth VerfasserIn (DE-588)1038457327 (DE-627)75743861X (DE-576)392417332 aut, An introduction to statistical learning with applications in R Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Second edition, New York, NY Springer [2021], © 2021, xv, 607 Seiten Illustrationen, Diagramme 24 cm, Text txt rdacontent, ohne Hilfsmittel zu benutzen n rdamedia, Band nc rdacarrier, Springer texts in statistics, Mathematical statistics, R (Computer program language), Mathematical models, Statistics, (DE-588)4056995-0 (DE-627)106152955 (DE-576)209119799 Statistik gnd, (DE-588)4705956-4 (DE-627)356147487 (DE-576)215406362 R Programm gnd, (DE-588)1251244963 (DE-627)1788644921 Statistisches Lernen gnd, (DE-588)4167709-2 (DE-627)10542319X (DE-576)209910631 Lineare Regression gnd, (DE-588)7549235-0 (DE-627)520314808 (DE-576)259037508 Klassifikations- und Regressionsbaum gnd, (DE-588)4288033-6 (DE-627)10428367X (DE-576)210820004 Resampling gnd, (DE-588)4191992-0 (DE-627)105237906 (DE-576)21007745X Vektoranalysis gnd, (DE-588)1135597375 (DE-627)890512922 (DE-576)489847412 Deep learning gnd, (DE-588)4067601-8 (DE-627)104649526 (DE-576)209170409 Zensur gnd, Lehrbuch (DE-588)4123623-3 (DE-627)104270187 (DE-576)209561262 gnd-content, Einführung (DE-588)4151278-9 (DE-627)104450460 (DE-576)209786884 gnd-content, s (DE-588)4056995-0 (DE-627)106152955 (DE-576)209119799 Statistik gnd, s (DE-588)4705956-4 (DE-627)356147487 (DE-576)215406362 R Programm gnd, DE-101, s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd, s (DE-588)4066517-3 (DE-627)104791314 (DE-576)209164905 Wirtschaftsstatistik gnd, (DE-627), s (DE-588)4129903-6 (DE-627)105706523 (DE-576)209614412 Regressionsanalyse gnd, s (DE-588)4288033-6 (DE-627)10428367X (DE-576)210820004 Resampling gnd, s (DE-588)4134827-8 (DE-627)104790636 (DE-576)209655577 Lineares Modell gnd, s (DE-588)4347788-4 (DE-627)156895994 (DE-576)211488801 Entscheidungsbaum gnd, s (DE-588)4505517-8 (DE-627)245346708 (DE-576)213125757 Support-Vektor-Maschine gnd, s (DE-588)4070044-6 (DE-627)106101536 (DE-576)209179082 Cluster-Analyse gnd, Witten, Daniela VerfasserIn (DE-588)108120849X (DE-627)845688642 (DE-576)454037805 aut, Hastie, Trevor 1953- VerfasserIn (DE-588)172128242 (DE-627)697041832 (DE-576)167899988 aut, Tibshirani, Robert 1956- VerfasserIn (DE-588)172417740 (DE-627)697358836 (DE-576)167899996 aut, 9781071614181 eBook, Erscheint auch als Online-Ausgabe James, Gareth An introduction to statistical learning Second edition New York : Springer, 2021 1 Online-Ressource (616 pages) (DE-627)1767516126 9781071614181, Erscheint auch als Online-Ausgabe James, Gareth An introduction to statistical learning Second edition New York, NY : Springer, 2021 1 Online-Ressource(xv, 607 Seiten) (DE-627)1765220424 9781071614181, Erscheint auch als Online-Ausgabe James, Gareth An introduction to statistical learning Second edition New York : Springer, 2021 1 Online-Ressource (xv, 607 pages) (DE-627)1793539545 9781071614181 1071614185, https://www.gbv.de/dms/ilmenau/toc/1765978874.PDF DE-601 application/pdf Digitalisierung Inhaltsverzeichnis Inhaltsverzeichnis |
spellingShingle |
James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert, An introduction to statistical learning: with applications in R, Mathematical statistics, R (Computer program language), Mathematical models, Statistics, Statistik, R, Statistisches Lernen, Lineare Regression, Klassifikations- und Regressionsbaum, Resampling, Vektoranalysis, Deep learning, Zensur, Lehrbuch, Einführung, R Programm, Maschinelles Lernen, Wirtschaftsstatistik, Regressionsanalyse, Lineares Modell, Entscheidungsbaum, Support-Vektor-Maschine, Cluster-Analyse |
title |
An introduction to statistical learning: with applications in R |
title_auth |
An introduction to statistical learning with applications in R |
title_full |
An introduction to statistical learning with applications in R Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani |
title_fullStr |
An introduction to statistical learning with applications in R Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani |
title_full_unstemmed |
An introduction to statistical learning with applications in R Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani |
title_short |
An introduction to statistical learning |
title_sort |
an introduction to statistical learning with applications in r |
title_sub |
with applications in R |
title_unstemmed |
An introduction to statistical learning: with applications in R |
topic |
Mathematical statistics, R (Computer program language), Mathematical models, Statistics, Statistik, R, Statistisches Lernen, Lineare Regression, Klassifikations- und Regressionsbaum, Resampling, Vektoranalysis, Deep learning, Zensur, Lehrbuch, Einführung, R Programm, Maschinelles Lernen, Wirtschaftsstatistik, Regressionsanalyse, Lineares Modell, Entscheidungsbaum, Support-Vektor-Maschine, Cluster-Analyse |
topic_facet |
Mathematical statistics, R (Computer program language), Mathematical models, Statistics, Statistik, R, Statistisches Lernen, Lineare Regression, Klassifikations- und Regressionsbaum, Resampling, Vektoranalysis, Deep learning, Zensur, Lehrbuch, Einführung, Maschinelles Lernen, Wirtschaftsstatistik, Regressionsanalyse, Lineares Modell, Entscheidungsbaum, Support-Vektor-Maschine, Cluster-Analyse |
url |
https://www.gbv.de/dms/ilmenau/toc/1765978874.PDF |
work_keys_str_mv |
AT jamesgareth anintroductiontostatisticallearningwithapplicationsinr, AT wittendaniela anintroductiontostatisticallearningwithapplicationsinr, AT hastietrevor anintroductiontostatisticallearningwithapplicationsinr, AT tibshiranirobert anintroductiontostatisticallearningwithapplicationsinr, AT jamesgareth introductiontostatisticallearningwithapplicationsinr, AT wittendaniela introductiontostatisticallearningwithapplicationsinr, AT hastietrevor introductiontostatisticallearningwithapplicationsinr, AT tibshiranirobert introductiontostatisticallearningwithapplicationsinr |