"Poissonization"

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CS 265 / CME 309 Randomized Algorithms and Probabilistic Analysis

Stanford University

Fall 2022

This course dives into the use of randomness in algorithms and data structures, emphasizing the theoretical foundations of probabilistic analysis. Topics range from tail bounds, Markov chains, to randomized algorithms. The concepts are applied to machine learning, networking, and systems. Prerequisites indicate intermediate-level understanding required.

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