Free download and read ebooks online Probability And Computing - Randomization And Probabilistic Techniques In Algorithms And Data Analysis by Michael Mitzenmacher, Eli Upfal full book PDF ePUB Audiobook. Download a free ebooks and kindle audiobook Probability And Computing - Randomization And Probabilistic Techniques In Algorithms And Data Analysis with ISBN id 9781107154889 full page with book summary. Michael Mitzenmacher book PDF ePUB of Probability And Computing - Randomization And Probabilistic Techniques In Algorithms And Data Analysis published by Cambridge University Press in 2017-06-30. Probability and Computing released with category Computers with total 488 pages.
📖 Probability And Computing - Randomization And Probabilistic Techniques In Algorithms And Data Analysis by Michael Mitzenmacher read book online
Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.
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