Description: Probability and Computing : Randomization and Probabilistic Techniques in Algorithms and Data Analysis, Hardcover by Mitzenmacker, Michael; Upfal, Eli, ISBN 110715488X, ISBN-13 9781107154889, Brand New, Free shipping in the US "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 enablesstudents 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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Book Title: Probability and Computing : Randomization and Probabilistic Techn
Number of Pages: 484 Pages
Language: English
Publication Name: Probability and Computing : Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Publisher: Cambridge University Press
Publication Year: 2017
Subject: Programming / Algorithms, Probability & Statistics / Stochastic Processes, Probability & Statistics / General, Algebra / General
Item Height: 1 in
Features: Revised
Item Weight: 40.7 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Author: Eli Upfal, Michael Mitzenmacher
Item Length: 10.2 in
Item Width: 7.2 in
Format: Hardcover
