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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

Michael Mitzenmacher, Eli Upfal




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 | #224600 in Books |  2017-06-30 | Original language:English | File type: PDF | 488 pages

|| |'As randomized methods continue to grow in importance, this textbook provides a rigorous yet accessible introduction to fundamental concepts that need to be widely known. The new chapters in this second edition, about sample size and power laws, make it especi

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 learn...

You can specify the type of files you want, for your gadget.Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis   |  Michael Mitzenmacher, Eli Upfal. I really enjoyed this book and have already told so many people about it!

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