Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer International Publishing
2023
Cham Springer |
Ausgabe: | 1st ed. 2023 |
Schriftenreihe: | Statistics and Computing
|
Schlagworte: | |
Online-Zugang: | BTU01 FHD01 FHN01 FHR01 FRO01 FWS01 FWS02 HTW01 TUM01 UBM01 UBT01 UBW01 UBY01 UEI01 UPA01 Volltext |
Beschreibung: | 1 Online-Ressource (XXIX, 391 p. 144 illus., 99 illus. in color) |
ISBN: | 9783031413377 |
ISSN: | 2197-1706 |
DOI: | 10.1007/978-3-031-41337-7 |
Internformat
MARC
LEADER | 00000nmm a2200000zcb4500 | ||
---|---|---|---|
001 | BV049441879 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 231201s2023 |||| o||u| ||||||eng d | ||
020 | |a 9783031413377 |c Online |9 978-3-031-41337-7 | ||
024 | 7 | |a 10.1007/978-3-031-41337-7 |2 doi | |
035 | |a (ZDB-2-SMA)9783031413377 | ||
035 | |a (OCoLC)1414547995 | ||
035 | |a (DE-599)BVBBV049441879 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-91 |a DE-19 |a DE-898 |a DE-861 |a DE-188 |a DE-523 |a DE-863 |a DE-1050 |a DE-20 |a DE-862 |a DE-92 |a DE-824 |a DE-703 |a DE-706 |a DE-739 |a DE-634 | ||
082 | 0 | |a 519.50285 |2 23 | |
084 | |a MAT 000 |2 stub | ||
100 | 1 | |a Cerulli, Giovanni |e Verfasser |4 aut | |
245 | 1 | 0 | |a Fundamentals of Supervised Machine Learning |b With Applications in Python, R, and Stata |c by Giovanni Cerulli |
250 | |a 1st ed. 2023 | ||
264 | 1 | |a Cham |b Springer International Publishing |c 2023 | |
264 | 1 | |a Cham |b Springer | |
300 | |a 1 Online-Ressource (XXIX, 391 p. 144 illus., 99 illus. in color) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Statistics and Computing |x 2197-1706 | |
650 | 4 | |a Statistical Learning | |
650 | 4 | |a Machine Learning | |
650 | 4 | |a Statistical Software | |
650 | 4 | |a Statistics in Business, Management, Economics, Finance, Insurance | |
650 | 4 | |a Biostatistics | |
650 | 4 | |a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy | |
650 | 4 | |a Machine learning | |
650 | 4 | |a Statistics / Computer programs | |
650 | 4 | |a Statistics | |
650 | 4 | |a Biometry | |
650 | 4 | |a Social sciences / Statistical methods | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-031-41336-0 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-031-41338-4 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-031-41339-1 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-41337-7 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-2-SMA | ||
940 | 1 | |q ZDB-2-SMA_2023 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-034787845 | ||
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l BTU01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l FHD01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l FHN01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l FHR01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l FRO01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l FWS01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l FWS02 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l HTW01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l TUM01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l UBM01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l UBT01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l UBW01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l UBY01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l UEI01 |p ZDB-2-SMA |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-3-031-41337-7 |l UPA01 |p ZDB-2-SMA |x Verlag |3 Volltext |
Datensatz im Suchindex
DE-BY-FWS_katkey | 1058722 |
---|---|
_version_ | 1806175489677590528 |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Cerulli, Giovanni |
author_facet | Cerulli, Giovanni |
author_role | aut |
author_sort | Cerulli, Giovanni |
author_variant | g c gc |
building | Verbundindex |
bvnumber | BV049441879 |
classification_tum | MAT 000 |
collection | ZDB-2-SMA |
ctrlnum | (ZDB-2-SMA)9783031413377 (OCoLC)1414547995 (DE-599)BVBBV049441879 |
dewey-full | 519.50285 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.50285 |
dewey-search | 519.50285 |
dewey-sort | 3519.50285 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
discipline_str_mv | Mathematik |
doi_str_mv | 10.1007/978-3-031-41337-7 |
edition | 1st ed. 2023 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03520nmm a2200721zcb4500</leader><controlfield tag="001">BV049441879</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">231201s2023 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783031413377</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-031-41337-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-031-41337-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SMA)9783031413377</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1414547995</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049441879</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-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.50285</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Cerulli, Giovanni</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Fundamentals of Supervised Machine Learning</subfield><subfield code="b">With Applications in Python, R, and Stata</subfield><subfield code="c">by Giovanni Cerulli</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer International Publishing</subfield><subfield code="c">2023</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXIX, 391 p. 144 illus., 99 illus. in color)</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="490" ind1="0" ind2=" "><subfield code="a">Statistics and Computing</subfield><subfield code="x">2197-1706</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistical Software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics in Business, Management, Economics, Finance, Insurance</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biostatistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics / Computer programs</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biometry</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Social sciences / Statistical methods</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">978-3-031-41336-0</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">978-3-031-41338-4</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">978-3-031-41339-1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SMA</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SMA_2023</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034787845</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">FHD01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">FRO01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">HTW01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">UBM01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">UBT01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">UBW01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">UEI01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-031-41337-7</subfield><subfield code="l">UPA01</subfield><subfield code="p">ZDB-2-SMA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV049441879 |
illustrated | Not Illustrated |
index_date | 2024-07-03T23:12:09Z |
indexdate | 2024-08-01T11:06:14Z |
institution | BVB |
isbn | 9783031413377 |
issn | 2197-1706 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034787845 |
oclc_num | 1414547995 |
open_access_boolean | |
owner | DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-703 DE-706 DE-739 DE-634 |
owner_facet | DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-703 DE-706 DE-739 DE-634 |
physical | 1 Online-Ressource (XXIX, 391 p. 144 illus., 99 illus. in color) |
psigel | ZDB-2-SMA ZDB-2-SMA_2023 |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | Springer International Publishing Springer |
record_format | marc |
series2 | Statistics and Computing |
spellingShingle | Cerulli, Giovanni Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata Statistical Learning Machine Learning Statistical Software Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Machine learning Statistics / Computer programs Statistics Biometry Social sciences / Statistical methods |
title | Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata |
title_auth | Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata |
title_exact_search | Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata |
title_exact_search_txtP | Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata |
title_full | Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata by Giovanni Cerulli |
title_fullStr | Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata by Giovanni Cerulli |
title_full_unstemmed | Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata by Giovanni Cerulli |
title_short | Fundamentals of Supervised Machine Learning |
title_sort | fundamentals of supervised machine learning with applications in python r and stata |
title_sub | With Applications in Python, R, and Stata |
topic | Statistical Learning Machine Learning Statistical Software Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Machine learning Statistics / Computer programs Statistics Biometry Social sciences / Statistical methods |
topic_facet | Statistical Learning Machine Learning Statistical Software Statistics in Business, Management, Economics, Finance, Insurance Biostatistics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Machine learning Statistics / Computer programs Statistics Biometry Social sciences / Statistical methods |
url | https://doi.org/10.1007/978-3-031-41337-7 |
work_keys_str_mv | AT cerulligiovanni fundamentalsofsupervisedmachinelearningwithapplicationsinpythonrandstata |