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- 000 02189cam a2200361 i 4500
- 008 160921s2017 enk sb 001 0 eng
- 040 __ |a DLC |b eng |c DLC |e rda |d DLC
- 050 00 |a QA274 |b .M574 2017
- 100 1_ |a Mitzenmacher, Michael, |d 1969- |e author.
- 245 10 |a Probability and computing / |c Michael Mitzenmacher Eli Upfal.
- 250 __ |a Second edition.
- 264 _1 |a Cambridge, United Kingdom ; |a New York, NY, USA : |b Cambridge University Press, |c [2017]
- 300 __ |a 1 online resource (484 pages)
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a computer |b c |2 rdamedia
- 338 __ |a online resource |b cr |2 rdacarrier
- 500 __ |a Description based on print version record.
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a "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"-- |c Provided by publisher.
- 650 _0 |a Stochastic analysis.
- 700 1_ |a Upfal, Eli, |d 1954- |e author.
- 856 4_ |u http://www.itextbook.cn/f/book/bookDetail?bookId=a21abd43442f4aba9ddb2ece7f7ebb46 |z An electronic book accessible through the World Wide Web; click to view