Entropy (information theory)

Applied sciences
Information engineering
Information theory
Channel capacity

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Related lectures (30)

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Data Compression and Shannon-Fano Algorithm

Explores the Shannon-Fano algorithm for data compression and its efficiency in creating unique binary codes for letters.

Probability Distribution and Entropy

Explains probability distribution, entropy, and Gibbs free entropy, along with the Weiss model.

Bipartite systems - Entanglement

Covers the concept of entanglement in bipartite systems, focusing on entropy and Schmidt decomposition.

Decision Trees: Classification

Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.

Thermodynamic Identity: Entropy and Energy

Explores the thermodynamic identity, entropy-temperature relationship, and pressure definition, illustrating key principles with practical examples.

Mutual Information: Understanding Random Variables

Explores mutual information, quantifying relationships between random variables and measuring information gain and statistical dependence.

Source Coding Theorem: Fundamentals and Models

Covers the Source Coding Theorem, source models, entropy, regular sources, and examples.

Second Principle: Entropy

Explores the second principle of thermodynamics, emphasizing entropy's role in system evolution and equilibrium.

Information Theory: Source Coding, Cryptography, Channel Coding

Covers source coding, cryptography, and channel coding in communication systems, exploring entropy, codes, error channels, and future related courses.

Conditional Entropy: Review and Definitions

Covers conditional entropy, weather conditions, function entropy, and the chain rule.