Statistics, Topology and Data Analysis
Offered By: Applied Algebraic Topology Network via YouTube
Course Description
Overview
Explore the intersection of statistics and topological data analysis in solving real-world data problems through this insightful lecture. Delve into supervised learning and discover a novel Bayesian framework for persistent homology in classification. Gain practical knowledge as the speaker applies these concepts to materials science, demonstrating how statistical and topological approaches synergize to tackle complex data challenges.
Syllabus
Vasileios Maroulas (12/1/21): Statistics, Topology and Data Analysis
Taught by
Applied Algebraic Topology Network
Related Courses
Topological Data Analysis - New Perspectives on Machine Learning - by Jesse JohnsonOpen Data Science via YouTube Analyzing Point Processes Using Topological Data Analysis
Applied Algebraic Topology Network via YouTube MD Simulations and Machine Learning to Quantify Interfacial Hydrophobicity
Applied Algebraic Topology Network via YouTube Topological Data Analysis of Plant-Pollinator Resource Complexes - Melinda Kleczynski
Applied Algebraic Topology Network via YouTube Hubert Wagner - Topological Data Analysis in Non-Euclidean Spaces
Applied Algebraic Topology Network via YouTube