Probability and Statistics for Computer Science

Language: English

Published by Springer, Palgrave Macmillan Jun 2019, 2019

3319877887 / 9783319877884

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This item is printed on demand - Print on Demand Titel. Neuware -This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensivebackground in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Sciencefeatures:¿ A treatment of random variables and expectations dealing primarily with the discrete case.¿ Apractical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis onMarkov chains.¿ A clear but crisp account of simple point inference strategies (maximum likelihood;Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing.¿ Achapter dealing with classification, explaining why it¿s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methodssuch asrandom forests and nearest neighbors.¿ A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems.¿ A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis.¿ A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals.Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know.Instructor resources includea full set of model solutions forallproblems, and an Instructor's Manual with accompanying presentation slides.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 392 pp. Englisch. …

Seller Inventory # 9783319877884

Title
Probability and Statistics for Computer Science
Author
David Forsyth
Publisher
Springer, Palgrave Macmillan Jun 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319877887
ISBN 13
9783319877884
Item weight
952 grams
Dimensions
279x210x22 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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