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Streaming video
Author Lantz, Brett, speaker

Title Understanding complexity by clustering data with maching learning and R / Brett Lantz
Published [Place of publication not identified] : O'Reilly Media, 2014

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Description 1 online resource (1 streaming video file (0 hr., 37 min., 51 sec.)) : digital, sound, color
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
Notes Title from title screen (viewed May 11, 2015)
Date of publication taken from resource description page
Performer Presenter, Brett Lantz
Subject Phenomenological sociology.
Machine learning.
R (Computer program language)
Machine learning.
Phenomenological sociology.
R (Computer program language)
Form Streaming video