Explores Maximum Likelihood Estimation, covering assumptions, properties, distribution, shrinkage estimation, and loss functions.
Covers the concepts of compression and prediction using prefix-free codes and distributions.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Explores diffusion models, focusing on generating samples from a distribution and the importance of denoising in the process.
Introduces the basics of risk analysis and management in civil engineering, covering distributions, statistical reminders, and mathematical interpretation techniques.
