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


Super Savings Item! Save 36% on the Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis by Cambridge University Press at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role


Product Description

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.

Additional Information

Manufacturer:Cambridge University Press
Publisher:Cambridge University Press
Studio:Cambridge University Press
EAN:9781107154889
Item Size:7.45 x 1.15 x 1.15 inches
Package Weight:2.51 pounds
Package Size:7.01 x 1.1 x 1.1 inches

Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis by Cambridge University Press

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

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