Explores entropy's role in coding strategies and search algorithms, showcasing its impact on information compression and data efficiency.
Introduces Shannon's Theorem on binary codes, entropy, and data compression limits.
Explores entropy theory, compression without loss, and the efficiency of the Shannon-Fano algorithm in data compression.
Explores data compression through entropy definition, types, and practical examples, illustrating its role in efficient information storage and transmission.
Covers the concepts of compression and prediction using prefix-free codes and distributions.
