Probability and Computing : Randomization and Probabilistic Techniques in Algorithms and Data Analysis
2 Revised edition
Book Details
Format
Hardback or Cased Book
ISBN-10
110715488X
ISBN-13
9781107154889
Edition
2 Revised edition
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jul 3rd, 2017
Print length
484 Pages
Weight
1,076 grams
Dimensions
25.90 x 17.80 x 2.60 cms
Product Classification:
Probability & statisticsAlgorithms & data structures
Ksh 10,700.00
Manufactured on Demand
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This greatly expanded new edition, requiring only an elementary background in discrete mathematics, comprehensively covers randomization and probabilistic techniques in modern computer science. It includes new material relevant to machine learning and big data analysis, plus examples and exercises, enabling students to learn modern techniques and applications.
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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