Unsupervised Machine Learning for Clustering in Political and Social Research

Waggoner, Philip D. (University of Chicago)

Omschrijving

Offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understanding latent, non-random structure in data. A suite of widely used clustering techniques is covered, in addition to R code and real data to facilitate interaction with the concepts.
€ 29,15
Paperback / softback
 
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€ 19,95 binnen Nederland
Schrijver
Waggoner, Philip D. (University of Chicago)
Titel
Unsupervised Machine Learning for Clustering in Political and Social Research
Uitgever
Cambridge University Press
Jaar
2021
Taal
Engels
Pagina's
75
Gewicht
120 gr
EAN
9781108793384
Afmetingen
229 x 152 x 8 mm
Bindwijze
Paperback / softback

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