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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Michael Mitzenmacher, Eli Upfal你有多喜歡這本書?
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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.
年:
2017
版本:
2
出版商:
Cambridge University Press
語言:
english
頁數:
484
ISBN 10:
110715488X
ISBN 13:
9781107154889
文件:
PDF, 11.69 MB
你的標籤:
IPFS:
CID , CID Blake2b
english, 2017
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