Understanding complexity by clustering data with maching 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 sociologica...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Lantz, Brett (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, 2014.
Temas:
Phenomenological sociology.
Machine learning.
R (Computer program language)
Sociologie phénoménologique.
Apprentissage automatique.
R (Langage de programmation)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
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."--Resource description page.
Notas:Title from title screen (viewed May 11, 2015)
Date of publication taken from resource description page.
Descripción Física:1 online resource (1 streaming video file (0 hr., 37 min., 51 sec.)) : digital, sound, color.

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