Lectures related to Data Compression and Entropy: Illustrating Entropy Properties

Explores tail bounds, information bounds, and maximal leakage in the context of generalization error.

Explores entropy as a 'question game' to guess letters efficiently and its relation to data compression.

Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.

Covers source coding theorems, entropy, and various source models in information theory.

Explores the properties of entropy, including positivity and nullity conditions.