Trustworthy Machine Learning:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Independently published
[2022]
|
| Beschreibung: | Auf dem Umschlag: concepts for developing accurate, fair, robust, explainable, transparent, inclusive, empowering, and beneficial machine learning systems |
| Umfang: | x, 256 Seiten Illustrationen, Diagramme |
| ISBN: | 9798411903959 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV048991380 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | t| | ||
| 008 | 230607s2022 xxua||| |||| 00||| eng d | ||
| 020 | |a 9798411903959 |9 9798411903959 | ||
| 035 | |a (OCoLC)1333198755 | ||
| 035 | |a (DE-599)KXP1807886697 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US | ||
| 049 | |a DE-91G | ||
| 084 | |a DAT 708 |2 stub | ||
| 100 | 1 | |a Varshney, Kush R. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Trustworthy Machine Learning |c Kush R. Varshney |
| 264 | 1 | |a Independently published |c [2022] | |
| 300 | |a x, 256 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Auf dem Umschlag: concepts for developing accurate, fair, robust, explainable, transparent, inclusive, empowering, and beneficial machine learning systems | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034254715 | |
Datensatz im Suchindex
| DE-BY-TUM_call_number | 0102 DAT 708 2023 A 2235 |
|---|---|
| DE-BY-TUM_katkey | 2746151 |
| DE-BY-TUM_location | 01 |
| DE-BY-TUM_media_number | 040009123822 |
| _version_ | 1821934181555372032 |
| any_adam_object | |
| author | Varshney, Kush R. |
| author_facet | Varshney, Kush R. |
| author_role | aut |
| author_sort | Varshney, Kush R. |
| author_variant | k r v kr krv |
| building | Verbundindex |
| bvnumber | BV048991380 |
| classification_tum | DAT 708 |
| ctrlnum | (OCoLC)1333198755 (DE-599)KXP1807886697 |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00949nam a2200289 c 4500</leader><controlfield tag="001">BV048991380</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">230607s2022 xxua||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798411903959</subfield><subfield code="9">9798411903959</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1333198755</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1807886697</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="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 708</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Varshney, Kush R.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Trustworthy Machine Learning</subfield><subfield code="c">Kush R. Varshney</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Independently published</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">x, 256 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">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="500" ind1=" " ind2=" "><subfield code="a">Auf dem Umschlag: concepts for developing accurate, fair, robust, explainable, transparent, inclusive, empowering, and beneficial machine learning systems</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034254715</subfield></datafield></record></collection> |
| id | DE-604.BV048991380 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T19:57:51Z |
| institution | BVB |
| isbn | 9798411903959 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034254715 |
| oclc_num | 1333198755 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | x, 256 Seiten Illustrationen, Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| record_format | marc |
| spellingShingle | Varshney, Kush R. Trustworthy Machine Learning |
| title | Trustworthy Machine Learning |
| title_auth | Trustworthy Machine Learning |
| title_exact_search | Trustworthy Machine Learning |
| title_full | Trustworthy Machine Learning Kush R. Varshney |
| title_fullStr | Trustworthy Machine Learning Kush R. Varshney |
| title_full_unstemmed | Trustworthy Machine Learning Kush R. Varshney |
| title_short | Trustworthy Machine Learning |
| title_sort | trustworthy machine learning |
| work_keys_str_mv | AT varshneykushr trustworthymachinelearning |
Paper/Kapitel scannen lassen
Teilbibliothek Mathematik & Informatik
| Signatur: |
0102 DAT 708 2023 A 2235
Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |