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PROBABILITY & COMPUTING: RANDOMIZATION & PROBABILISTIC TECHNIQUES IN ALGORITHMS & DATA ANAL. 2E 2017
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ISBN: 9781107154889
類別: 電腦Computer Science & Engineering
出版社: CAMBRIDGE UNIVERSITY PRESS
作者: MITZENMACHER
年份: 2017
裝訂別: 精裝
頁數: 484
定價: 1,480
售價: 1,332
原幣價: USD 69.99
狀態: 正常
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.

>Contains all the background in probability needed to understand many subdisciplines of computer science
>Includes new material relevant to machine learning and big data analysis, enabling students to learn new, up-to-date techniques and applications
>Newly added chapters and sections cover the normal distribution, sample complexity, VC dimension, naive Bayes, cuckoo hashing, power laws, and the Lovasz Local Lemma
>Many new exercises and examples, including several new programming-related exercises, providing students with excellent training in problem solving

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