Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Description
This greatly expanded new edition, requiring only an elementary background in discrete mathematics, comprehensively covers randomization and probabilistic techniques in modern computer science. It includes new material relevant to machine learning and big data analysis, plus examples and exercises, enabling students to learn modern techniques and applications.
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‘Probability and Computing - Mitzenmacher, Michael (Harvard University, Upfal, Eli (Brown University’.
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