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Machine Learning for Fluid Dynamics - Patterns

Offered By: Steve Brunton via YouTube

Tags

Machine Learning Courses Fluid Dynamics Courses Super-Resolution Courses Autoencoders Courses

Course Description

Overview

Explore the application of machine learning in extracting useful patterns and coherent structures from high-dimensional fluid dynamics data in this 21-minute video lecture. Delve into topics such as autoencoders, robust POD/PCA, robust statistics (RPCA), super resolution, and statistical stationarity. Access the accompanying paper in the Annual Review of Fluid Mechanics for further insights, and stay updated with the presenter's Twitter and website for ongoing developments in this field.

Syllabus

MACHINE LEARNING FOR FLUID MECHANICS
Autoencoder
ROBUST POD/PCA
ROBUST STATISTICS (RPCA)
SUPER RESOLUTION
STATISTICAL STATIONARITY


Taught by

Steve Brunton

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