Turbulence: Numerical Flow SimulationExplores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
Statistical Signal ProcessingCovers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Data Loading and FilteringCovers loading compressed files, filtering dataframes, and analyzing data distribution for effective analysis.
Diffusion ModelsExplores diffusion models, focusing on generating samples from a distribution and the importance of denoising in the process.
Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
