| Description |
1 online resource (1 streaming video file (36 min., 46 sec.)) |
| Performer |
Presenters, Alessandra Staglianò, Angie Ma, and Gary Willis. |
| Note |
Title from title screen (viewed September 26, 2017). |
|
"Part 4 of 6." |
|
Date of publication taken from resource description page. |
| Summary |
"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 |
| Subject |
Regression analysis.
|
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Machine learning.
|
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Hierarchical clustering (Cluster analysis)
|
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Artificial intelligence.
|
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Regression Analysis |
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Artificial Intelligence |
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Analyse de régression. |
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Apprentissage automatique. |
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Intelligence artificielle. |
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artificial intelligence. |
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Artificial intelligence. |
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Hierarchical clustering (Cluster analysis) |
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Machine learning. |
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Regression analysis. |
| Added Author |
Ma, Angie, speaker.
|
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Willis, Gary, speaker.
|
| Added Title |
Introduction to real-world machine learning |
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