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230504s2018 us fo 001 0 eng d |
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|a 9781119454946
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|c AR-OvUNE
|a AR-OvUNE
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|a 004.85
|b HUR
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1 |
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|a Hurwitz, Judith
|9 31474
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|a Machine learning
|h [recurso electrónico] :
|b for dummies /
|c by Judith Hurwitz and Daniel Kirsch
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250 |
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|a IBM limited ed.
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256 |
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|a Datos (1 archivo .pdf : 1.77 MB)
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260 |
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|a Hoboken, NJ :
|b John Wiley,
|c [2016]
|
300 |
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|a recurso en línea (ca.68 p.) :
|b fig. col..
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336 |
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|a texto (visual)
|2 RDA
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337 |
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|a electrónico
|2 RDA
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338 |
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|a recurso en línea
|2 RDA type carrier
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500 |
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|a IBM permite la descarga del texto completo (ver información en: Enlace alternativo...)
|
505 |
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|a 1.Understanding machine learning -- 2.Applying machine learning -- 3.Looking inside machine learning -- 4.Getting started with machine learning -- 5.Learning machine skills -- 6.Using machine learning to provide solutions to business problems -- 7. Ten predictions to the future of machine learning
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650 |
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|a Inteligencia artificial
|9 12598
|x Aprendizaje automático
|
650 |
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7 |
|a Aprendizaje automático
|9 8495
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653 |
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|a APRENDIZAJE PROFUNDO
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653 |
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|a MACHINE LEARNING
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653 |
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|a BIG DATA
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700 |
1 |
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|a Kirsch, Daniel
|9 31473
|
856 |
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|u https://www.ibm.com/downloads/cas/GB8ZMQZ3
|y Acceso al texto completo
|z (última consulta: 26/09/2023)
|
856 |
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|u https://www.ibm.com/mx-es/analytics/machine-learning
|y Enlace alternativo al texto completo
|z (última consulta: 28/04/2023)
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|2 udc
|h 004.85
|c LIB
|6 00485
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|c 12990
|d 12990
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