Understanding Complexity by Clustering Data with Machine Learning and R
Although machine learning is most commonly used for prediction, it can also help make sense of the complexity in the world around us. In this webcast, we explore how R's open-source clustering packages can discover patterns in large data and inform our understanding of complex sociological phen...
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| Idioma: | Inglés |
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O'Reilly Media, Inc
2014.
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| Edición: | 1st edition |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629998706719 |
| Sumario: | Although machine learning is most commonly used for prediction, it can also help make sense of the complexity in the world around us. In this webcast, we explore how R's open-source clustering packages can discover patterns in large data and inform our understanding of complex sociological phenomena such as teenage identities. |
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| Notas: | Title from title screen (viewed May 11, 2015) Date of publication taken from resource description page. |
| Descripción Física: | 1 online resource (1 video file, approximately 38 min.) |
