Probability and computing

Rubriek: Textual/Printed/Reference Materials - Boek

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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.

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Taal: en

Bindwijze: Hardcover

Oorspronkelijke releasedatum: 03 juli 2017

Aantal pagina's: 484

Illustraties: Met illustraties

Hoofdauteur: Michael Mitzenmacher

Tweede Auteur: Eli Upfal

Co Auteur: Mitzenmacher Michael

Hoofduitgeverij: Cambridge University Press

Editie: 2

Extra groot lettertype: Nee

Product breedte: 182 mm

Product hoogte: 25 mm

Product lengte: 260 mm

Studieboek: Ja

Verpakking breedte: 182 mm

Verpakking hoogte: 30 mm

Verpakking lengte: 262 mm

Verpakkingsgewicht: 1138 g

EAN: 9781107154889

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