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Unsupervised learning for exploration and classification of health data : advanced analysis using Python and R /
"One of the most exciting and practical goals of combining healthcare with technology is to mine large quantities of data to discover what, if anything, has eluded researchers--either through a lack of sufficiently large datasets or a lack of human ability to notice unlikely relationships. Unsu...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
[2017]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 050 | 4 | |a R859.7.D35 | |
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| 100 | 1 | |a Nielsen, Aileen, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Unsupervised learning for exploration and classification of health data : |b advanced analysis using Python and R / |c with Aileen Nielsen. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c [2017] | |
| 300 | |a 1 online resource (1 streaming video file (1 hr., 46 min., 43 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
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| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Title from title screen (Safari, viewed December 6, 2017). | ||
| 500 | |a Release information from resource description page (Safari, viewed December 6, 2017). | ||
| 511 | 0 | |a Presenter, Aileen Nielsen. | |
| 520 | |a "One of the most exciting and practical goals of combining healthcare with technology is to mine large quantities of data to discover what, if anything, has eluded researchers--either through a lack of sufficiently large datasets or a lack of human ability to notice unlikely relationships. Unsupervised learning is a promising avenue for pursuing this goal, because unsupervised machine learning techniques do not require existing human knowledge to generate new insights about structure within datasets. This video, designed for learners with a basic understanding of statistics and computer programming, provides a detailed introduction to three specific types of unsupervised learning: cluster analysis, association analysis, and principal components analysis, as applied to health data sets both at the individual and population levels. Examples will be introduced in both Python and R."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Medical care |x Data processing. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Quantitative research. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Recherche quantitative. | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Medical care |x Data processing. |2 fast |0 (OCoLC)fst01013786 | |
| 650 | 7 | |a Quantitative research. |2 fast |0 (OCoLC)fst01742283 | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781491991176/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||