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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis by Eli Upfal, Michael Mitzenmacher (Hardcover, 2017)
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Product Information
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.Product Identifiers
PublisherCambridge University Press
ISBN-139781107154889
eBay Product ID (ePID)229719848
Product Key Features
Number of Pages484 Pages
LanguageEnglish
Publication NameProbability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Publication Year2017
SubjectComputer Science, Mathematics
TypeTextbook
AuthorEli Upfal, Michael Mitzenmacher
FormatHardcover
Dimensions
Item Height260 mm
Item Weight1150 g
Item Width182 mm
Additional Product Features
Country/Region of ManufactureUnited Kingdom
Title_AuthorEli Upfal, Michael Mitzenmacher
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