Topological Data Analysis

When Machine Learning Meets Topology: Topological Data Analysis and Topological Deep Learning

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When Machine Learning Meets Topology: Topological Data Analysis and Topological Deep Learning

Introduction As a branch of mathematics, topology describes the properties and structures of space in a unique way. In recent years, geometry and topology have been widely applied in machine learning, especially topological models, which play a significant role in data representation and feature extraction. Topological Data Analysis (TDA) is rooted in algebraic topology and … Read more

The Holy Trinity of Topological Machine Learning: Gudhi, Scikit-Learn and Tensorflow

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The Holy Trinity of Topological Machine Learning: Gudhi, Scikit-Learn and Tensorflow

Author: Mathieu Carrière Translator: Sun Taochun Proofreader: He Zhonghua This article is approximately 4500 words long and is recommended to be read in 10minutes. This article briefly introduces the power of Topological Data Analysis (TDA) in machine learning and demonstrates how to practice with three Python libraries: Gudhi, Scikit-Learn, and Tensorflow. Tags: Data Visualization Hi … Read more