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Mini-Course #2 (Part2): with Lara Kassab: â A Visual Introduction to Geometric Data Analysisâ by Adams, Henry
Description
We give a visual introduction to several geometric techniques for analyzing data. These include both unsupervised learning (clustering, dimensionality reduction, topic modeling), and supervised learning (k-nearest neighbors, support vector machines), though we don't expect you to know what any of those words mean! The goal is to distill the methods down to visual and oral description without mathematical notation. The performance of data analysis techniques will be illustrated on real-world image and text datasets. Mini-course participants will be encouraged to develop their own purely visual explanations.
Item Metadata
Title |
Mini-Course #2 (Part2): with Lara Kassab: â A Visual Introduction to Geometric Data Analysisâ by
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2021-02-21T14:16
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Description |
We give a visual introduction to several geometric techniques for analyzing data. These include both unsupervised learning (clustering, dimensionality reduction, topic modeling), and supervised learning (k-nearest neighbors, support vector machines), though we don't expect you to know what any of those words mean! The goal is to distill the methods down to visual and oral description without mathematical notation. The performance of data analysis techniques will be illustrated on real-world image and text datasets. Mini-course participants will be encouraged to develop their own purely visual explanations.
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Extent |
82.0 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Colorado State
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Series | |
Date Available |
2021-08-21
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0401486
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International