What are you grouping for?
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Tag | 1 | 2 | Valor |
---|---|---|---|
LDR | 00000cab a2200000 4500 | ||
001 | MAP20200024200 | ||
003 | MAP | ||
005 | 20220911211140.0 | ||
008 | 200717e20200701gbr|||p |0|||b|eng d | ||
040 | $aMAP$bspa$dMAP | ||
084 | $a6 | ||
100 | $0MAPA20200016380$aHu, Sen | ||
245 | 1 | 0 | $aWhat are you grouping for?$cSen Hu, Adrian O'Hagan |
520 | $aMachine learning has increasingly become a tool for actuaries in the era of big data, and the idea of actuaries teaming up with data scientists has been continually debated by industry leaders. In a nutshell, machine learning is a sub-stream of artificial intelligence, and provides suites of algorithms and models for computers to learn from data, so that they can help find data patterns and therefore make inferences, decisions or predictions. | ||
650 | 4 | $0MAPA20080568009$aAutomatización | |
650 | 4 | $0MAPA20080579258$aCálculo actuarial | |
650 | 4 | $0MAPA20140022717$aBig data | |
650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
650 | 4 | $0MAPA20080553128$aAlgoritmos | |
650 | 4 | $0MAPA20080578848$aAnálisis de datos | |
700 | $0MAPA20170005438$aO'Hagan, Adrían | ||
773 | 0 | $wMAP20200013259$tThe Actuary : the magazine of the Institute & Faculty of Actuaries$dLondon : Redactive Publishing, 2019-$g01/07/2020 Número 6 - julio 2020 , p. 32-33 |