Tensor Graphical Models for Complex and High Dimensional Data
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore advanced concepts in tensor graphical models for analyzing complex and high-dimensional data in this one-hour lecture by Shuheng Zhou from UC Riverside. Delve into algorithmic advances for statistical inference with combinatorial structure, gaining insights into cutting-edge techniques for handling intricate datasets and improving analytical capabilities in various fields of study.
Syllabus
Tensor Graphical Models For Complex And High Dimensional Data
Taught by
Simons Institute
Related Courses
Data Analysis and VisualizationGeorgia Institute of Technology via Udacity Dimensionality Reduction in Python
DataCamp Deep Learning of Dynamics and Coordinates with SINDy Autoencoders
Steve Brunton via YouTube Recent Developments in Supervised Learning With Noise
Simons Institute via YouTube PCA for High-Dimensional Heteroscedastic Data
Fields Institute via YouTube