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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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Bibliographic Details
Main Author: Lantz, Brett
Format: eBook
Language:English
Published: [Place of publication not identified] O'Reilly Media 2014
Subjects:
R (computer Program Language) / Fast / (ocolc)fst01086207
R (langage De Programmation)
Phenomenological Sociology / Http://id.loc.gov/authorities/subjects/sh85100681
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Phenomenological Sociology / Fast / (ocolc)fst01060519
Apprentissage Automatique
R (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh2002004407
Sociologie Phénoménologique
Machine Learning / Fast / (ocolc)fst01004795
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:"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
Item Description:Title from title screen (viewed May 11, 2015). - Date of publication taken from resource description page
Physical Description:1 streaming video file (0 hr., 37 min., 51 sec.) digital, sound, color

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