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Related lectures (30)

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Covers B+ Trees, a key data structure for efficient indexing in databases.

Explores storage layers, disk management, flash disks, and B+ tree indexing for efficient data retrieval.

Explores tree-structured indexing with a focus on B+ trees in databases.

Covers rhythm generation techniques, including Markov models and hierarchical rhythm generation, with a focus on Nancarrow's Study 14.

Explores the mechanization of Huffman's algorithm proof and functional implementation.

Explains compression and Kraft inequality in codes and sequences.

Introduces random variables, probability distributions, and expected values through practical examples.

Explores wood properties, benefits of building with wood, tree structure, and microstructure.

Introduces structural induction on trees, demonstrating with IntSets and their laws.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.