Covers the concept of compression and constructing prefix-free codes based on given information.
Covers the binary choice model, error term assumptions, specific constants, invariances, and distribution properties.
Covers the basics of networks, focusing on brain networks, historical breakthroughs, small-world and scale-free network discoveries, and the importance of the human connectome.
Explores diffusion models, focusing on generating samples from a distribution and the importance of denoising in the process.
Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
