Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis, 2nd EditionКНИГИ » ПРОГРАММИНГ
Название: Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis, 2nd Edition Автор: Eli Upfal, Michael Mitzenmacher Издательство: Cambridge University Press Год: 2017 Страниц: 484 Формат: True PDF Размер: 11 Mb Язык: English
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.
Foundations of Machine Learning, Second Edition Название: Foundations of Machine Learning, Second Edition Автор: Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar Издательство: The MIT Press...
OpenIntro Statistics. Second Edition Название: OpenIntro Statistics. Second Edition Автор: Various Издательство: Autoedici?n Год: 2014 Формат: pdf Страниц: 426 Размер: 8.8 mb. Язык:...
Навигация
Вход на сайт
Реклама
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis, 2nd Edition 
