TY - BOOK ID - 15770843 TI - Probability and computing AU - Mitzenmacher, Michael. AU - Upfal, Eli. PY - 2017 SN - 9781107154889 PB - Cambridge Cambridge University Press DB - UniCat KW - Algorithms. KW - Probabilities. KW - Stochastic analysis. KW - Analysis, Stochastic KW - Mathematical analysis KW - Stochastic processes KW - Probability KW - Statistical inference KW - Combinations KW - Mathematics KW - Chance KW - Least squares KW - Mathematical statistics KW - Risk KW - Algorism KW - Algebra KW - Arithmetic KW - Foundations KW - Algorithmes KW - Probabilités KW - Analyse stochastique KW - Algorithms KW - Probabilities KW - Stochastic analysis KW - 510.5 KW - 510.5 Algorithms. Computable functions KW - Algorithms. Computable functions KW - Probabilités KW - Computer science UR - https://www.unicat.be/uniCat?func=search&query=sysid:15770843 AB - "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"-- ER -