Lecture
Information Measures
Related lectures (100)
Basic Properties of Conditional Expectation
Covers basic properties of conditional expectation and Jensen's inequality in probability theory.
Probability and Statistics
Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
Entropy and Mutual Information
On entropy and mutual information explores quantifying information in data science through probability distributions.
Cheeger's Inequality
Explores Cheeger's inequality and its implications in graph theory.
Multivariate Statistics: Normal Distribution
Covers the multivariate normal distribution, properties, and sampling methods.
Supervised Learning: Decision Trees
Covers supervised learning with decision trees and feature selection for classification.
Introduction to Quantum Chaos
Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.
Mutual Information and Entropy
Explores mutual information and entropy calculation between random variables.
Interpretation of Entropy
Explores the concept of entropy expressed in bits and its relation to probability distributions, focusing on information gain and loss in various scenarios.
Geodesic Convexity: Theory and Applications
Explores geodesic convexity in metric spaces and its applications, discussing properties and the stability of inequalities.