Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysi pdf epub mobi txt 电子书 下载 2024


Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysi

简体网页||繁体网页
Michael Mitzenmacher
Cambridge University Press
2017-7-3
484
USD 62.23
Hardcover
9781107154889

图书标签: 计算机  算法  数学  algorithms  概率  教材  英文原版  math   


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发表于2024-12-23

Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysi epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysi epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysi pdf epub mobi txt 电子书 下载 2024



图书描述

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.

Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysi 下载 mobi epub pdf txt 电子书

著者简介

Review

'As randomized methods continue to grow in importance, this textbook provides a rigorous yet accessible introduction to fundamental concepts that need to be widely known. The new chapters in this second edition, about sample size and power laws, make it especially valuable for today's applications.' Donald E. Knuth, Stanford University'Of all the courses I have taught at Berkeley, my favorite is the one based on the Mitzenmacher-Upfal book Probability and Computing. Students appreciate the clarity and crispness of the arguments and the relevance of the material to the study of algorithms. The new Second Edition adds much important material on continuous random variables, entropy, randomness and information, advanced data structures and topics of current interest related to machine learning and the analysis of large data sets.' Richard M. Karp, University of California, Berkeley'The new edition is great. I'm especially excited that the authors have added sections on the normal distribution, learning theory and power laws. This is just what the doctor ordered or, more precisely, what teachers such as myself ordered!' Anna Karlin, University of Washington

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Book Description

This greatly expanded new edition, requiring only an elementary background in discrete mathematics, comprehensively covers randomization and probabilistic techniques in modern computer science. It includes new material relevant to machine learning and big data analysis, plus examples and exercises, enabling students to learn modern techniques and applications.

Read more

See all Editorial Reviews


图书目录


Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysi pdf epub mobi txt 电子书 下载
想要找书就要到 小哈图书下载中心
立刻按 ctrl+D收藏本页
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用户评价

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随机分析的经典。比randomized algorithm一书浅显易懂得多,而又没有丢掉核心内容。

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随机分析的经典。比randomized algorithm一书浅显易懂得多,而又没有丢掉核心内容。

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有答案的书!救我狗命!

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不能更赞了……虽然是上课指定教材,但作为自学材料也完全没问题,易读易懂,内容也比较新。

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随机分析的经典。比randomized algorithm一书浅显易懂得多,而又没有丢掉核心内容。

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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysi pdf epub mobi txt 电子书 下载 2024


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