Clustering and unsupervised learning. Part 4, Introduction to real-world machine learning /

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"This course introduces clustering, a common technique used widely in unsupervised machine learning. The course begins by defining what clustering means through graphical explanations, and describes the common applications of clustering. Next, it explores k-means clustering in detail, including...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Staglianò, Alessandra (Orador), Ma, Angie (Orador), Willis, Gary (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly, [2017]
Temas:
Regression analysis.
Machine learning.
Hierarchical clustering (Cluster analysis)
Artificial intelligence.
Regression Analysis
Artificial Intelligence
Analyse de régression.
Apprentissage automatique.
Intelligence artificielle.
artificial intelligence.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"This course introduces clustering, a common technique used widely in unsupervised machine learning. The course begins by defining what clustering means through graphical explanations, and describes the common applications of clustering. Next, it explores k-means clustering in detail, including the concepts of distance functions and k-modes; illustrates hierarchical clustering through visual examples of dendrograms, and discusses different types of clustering algorithms. The course ends with a comparison of the performance of different algorithms. An understanding of basic algebra is required and some knowledge of linear algebra will be helpful."--Resource description page
Notas:Title from title screen (viewed September 26, 2017).
"Part 4 of 6."
Date of publication taken from resource description page.
Descripción Física:1 online resource (1 streaming video file (36 min., 46 sec.))

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