Crash course statistics. Unsupervised machine learning.

Today we're going to discuss how machine learning can be used to group and label information even if those labels don't exist. We'll explore two types of clustering used in Unsupervised Machine Learning: k-means and Hierarchical clustering, and show how they can be used in many ways -...

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Bibliographic Details
Format:	Video
Language:	English
Language Notes:	In English.
Published:	[Place of publication not identified] : Crash Course Statistics, 2018.
Series:	Academic Video Online
Subjects:	Statistics > Study and teaching. Hierarchical clustering (Cluster analysis) Machine learning. Cluster analysis. Statistique > Étude et enseignement. Apprentissage automatique. Classification automatique (Statistique) Cluster analysis Machine learning Statistics > Study and teaching Educational films Short films Educational films. Short films. Films éducatifs. Courts métrages.
Online Access:	Connect to this streaming video (Alexander Street Press)

Description
Summary:	Today we're going to discuss how machine learning can be used to group and label information even if those labels don't exist. We'll explore two types of clustering used in Unsupervised Machine Learning: k-means and Hierarchical clustering, and show how they can be used in many ways - from book suggestions and medical interventions, to giving people better deals on pizza!
Item Description:	Title from resource description page (viewed April 14, 2022).
Physical Description:	1 online resource (11 minutes)
Playing Time:	00:10:15