Machine learning for planetary science:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier
[2022]
|
| Schlagworte: | |
| Beschreibung: | xvi, 216 Seiten Illustrationen |
| ISBN: | 9780128187210 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV048196777 | ||
| 003 | DE-604 | ||
| 005 | 20241223 | ||
| 007 | t| | ||
| 008 | 220503s2022 xx a||| b||| 00||| eng d | ||
| 020 | |a 9780128187210 |9 978-0-12-818721-0 | ||
| 035 | |a (OCoLC)1337076182 | ||
| 035 | |a (DE-599)BVBBV048196777 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-11 |a DE-83 | ||
| 084 | |a SK 955 |0 (DE-625)143274: |2 rvk | ||
| 084 | |a US 9000 |0 (DE-625)146755: |2 rvk | ||
| 245 | 1 | 0 | |a Machine learning for planetary science |c edited by Joern Helbert, Mario D'Amore, Michael Aye, Hannah Kerner |
| 264 | 1 | |a Amsterdam |b Elsevier |c [2022] | |
| 264 | 4 | |c © 2022 | |
| 300 | |a xvi, 216 Seiten |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Planetologie |0 (DE-588)4233970-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Planetary science / Data processing | |
| 653 | 0 | |a Machine learning | |
| 653 | 0 | |a Machine learning | |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 1 | |a Planetologie |0 (DE-588)4233970-4 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Helbert, Jörn |d 1968- |e Sonstige |0 (DE-588)128602562 |4 oth | |
| 700 | 1 | |a D'Amore, Mario |e Sonstige |0 (DE-588)1262023270 |4 oth | |
| 700 | 1 | |a Aye, Michael |e Sonstige |0 (DE-588)1262023491 |4 oth | |
| 700 | 1 | |a Kerner, Hannah |e Sonstige |0 (DE-588)1262023769 |4 oth | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033577879 | |
Datensatz im Suchindex
| _version_ | 1819228634133561344 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author_GND | (DE-588)128602562 (DE-588)1262023270 (DE-588)1262023491 (DE-588)1262023769 |
| building | Verbundindex |
| bvnumber | BV048196777 |
| classification_rvk | SK 955 US 9000 |
| ctrlnum | (OCoLC)1337076182 (DE-599)BVBBV048196777 |
| discipline | Physik Mathematik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV048196777</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20241223</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">220503s2022 xx a||| b||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780128187210</subfield><subfield code="9">978-0-12-818721-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1337076182</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048196777</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-11</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 955</subfield><subfield code="0">(DE-625)143274:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">US 9000</subfield><subfield code="0">(DE-625)146755:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Machine learning for planetary science</subfield><subfield code="c">edited by Joern Helbert, Mario D'Amore, Michael Aye, Hannah Kerner</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Amsterdam</subfield><subfield code="b">Elsevier</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xvi, 216 Seiten</subfield><subfield code="b">Illustrationen</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Planetologie</subfield><subfield code="0">(DE-588)4233970-4</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="653" ind1=" " ind2="0"><subfield code="a">Planetary science / Data processing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine learning</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">Planetologie</subfield><subfield code="0">(DE-588)4233970-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Helbert, Jörn</subfield><subfield code="d">1968-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)128602562</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">D'Amore, Mario</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)1262023270</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aye, Michael</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)1262023491</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kerner, Hannah</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)1262023769</subfield><subfield code="4">oth</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033577879</subfield></datafield></record></collection> |
| id | DE-604.BV048196777 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:45:27Z |
| indexdate | 2024-12-23T11:00:23Z |
| institution | BVB |
| isbn | 9780128187210 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033577879 |
| oclc_num | 1337076182 |
| open_access_boolean | |
| owner | DE-11 DE-83 |
| owner_facet | DE-11 DE-83 |
| physical | xvi, 216 Seiten Illustrationen |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| record_format | marc |
| spelling | Machine learning for planetary science edited by Joern Helbert, Mario D'Amore, Michael Aye, Hannah Kerner Amsterdam Elsevier [2022] © 2022 xvi, 216 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Planetologie (DE-588)4233970-4 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Planetary science / Data processing Machine learning Maschinelles Lernen (DE-588)4193754-5 s Planetologie (DE-588)4233970-4 s DE-604 Helbert, Jörn 1968- Sonstige (DE-588)128602562 oth D'Amore, Mario Sonstige (DE-588)1262023270 oth Aye, Michael Sonstige (DE-588)1262023491 oth Kerner, Hannah Sonstige (DE-588)1262023769 oth |
| spellingShingle | Machine learning for planetary science Planetologie (DE-588)4233970-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4233970-4 (DE-588)4193754-5 |
| title | Machine learning for planetary science |
| title_auth | Machine learning for planetary science |
| title_exact_search | Machine learning for planetary science |
| title_exact_search_txtP | Machine learning for planetary science |
| title_full | Machine learning for planetary science edited by Joern Helbert, Mario D'Amore, Michael Aye, Hannah Kerner |
| title_fullStr | Machine learning for planetary science edited by Joern Helbert, Mario D'Amore, Michael Aye, Hannah Kerner |
| title_full_unstemmed | Machine learning for planetary science edited by Joern Helbert, Mario D'Amore, Michael Aye, Hannah Kerner |
| title_short | Machine learning for planetary science |
| title_sort | machine learning for planetary science |
| topic | Planetologie (DE-588)4233970-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Planetologie Maschinelles Lernen |
| work_keys_str_mv | AT helbertjorn machinelearningforplanetaryscience AT damoremario machinelearningforplanetaryscience AT ayemichael machinelearningforplanetaryscience AT kernerhannah machinelearningforplanetaryscience |