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'Topological Data Analysis for the Working Data Scientist' - Anthony Bak @ Trulia
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Abstract
This meetup is a continuation of the two Introduction to Topological Data Analysis (TDA) meetups done last year. Anthony will begin with a short review of the Mapper algorithm and discuss how to think about problems in the topological framework. Through a series of examples he will show how TDA extends and improves many existing data analysis techniques in both supervised and unsupervised settings, discuss how it can be used to correct machine learning models, and if time permits how it offers the ability to create unique topological models.
This meetup is a continuation of the two Introduction to Topological Data Analysis (TDA) meetups done last year. Anthony will begin with a short review of the Mapper algorithm and discuss how to think about problems in the topological framework. Through a series of examples he will show how TDA extends and improves many existing data analysis techniques in both supervised and unsupervised settings, discuss how it can be used to correct machine learning models, and if time permits how it offers the ability to create unique topological models.
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