Topology for Time Series
Offered By: Data Science Dojo via YouTube
Course Description
Overview
Explore topological algorithms for comparing time series data in this 34-minute talk. Gain an understanding of the persistent homology algorithm, learn about the caveats of analyzing and comparing time series data, and discover how to implement the algorithm in R. The presentation covers time series data, topology, homology, and comparing time series with persistent homology. Follow along with a live R coding demonstration and participate in Q&A sessions. Access provided datasets and code files to practice the concepts discussed. Suitable for data scientists and analysts interested in advanced time series analysis techniques.
Syllabus
Introduction
Time Series Data
Topology
Homology
Comparing Time Series with Persistent Homology
Dataset
Live R Coding
QnA
Taught by
Data Science Dojo
Related Courses
Studying Fluid Flows with Persistent Homology - Rachel LevangerInstitute for Advanced Study via YouTube Persistence Diagram Bundles- A Multidimensional Generalization of Vineyards
Applied Algebraic Topology Network via YouTube GPU Accelerated Computation of VR Barcodes in Evaluating Deep Learning Models
Applied Algebraic Topology Network via YouTube New Results in Computing Zigzag and Multiparameter Persistence
Applied Algebraic Topology Network via YouTube On the Effectiveness of Persistent Homology
Applied Algebraic Topology Network via YouTube