Covers the concept of compression and constructing prefix-free codes based on given information.
Covers the concepts of compression and prediction using prefix-free codes and distributions.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
