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Probability and statistics for compu...

Forsyth, David.

Probability and statistics for computer science

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probability and statistics for computer scienceby David Forsyth.
Author:	Forsyth, David.
Published:	Cham :Springer International Publishing :2018.
Description:	xxiv, 367 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer scienceStatistical methods.
Online resource:	http://dx.doi.org/10.1007/978-3-319-64410-3
ISBN:	9783319644103$q(electronic bk.)

Probability and statistics for computer science
Forsyth, David.

Probability and statistics for computer science[electronic resource] /by David Forsyth. - Cham :Springer International Publishing :2018. - xxiv, 367 p. :ill. (some col.), digital ;24 cm.

1 Notation and conventions -- 2 First Tools for Looking at Data -- 3 Looking at Relationships -- 4 Basic ideas in probability -- 5 Random Variables and Expectations -- 6 Useful Probability Distributions -- 7 Samples and Populations -- 8 The Significance of Evidence -- 9 Experiments -- 10 Inferring Probability Models from Data -- 11 Extracting Important Relationships in High Dimensions -- 12 Learning to Classify -- 13 Clustering: Models of High Dimensional Data -- 14 Regression -- 15 Markov Chains and Hidden Markov Models -- 16 Resources.

ISBN: 9783319644103$q(electronic bk.)

Standard No.: 10.1007/978-3-319-64410-3doiSubjects--Topical Terms:

198984
Computer science
--Statistical methods.

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0727

Probability and statistics for computer science
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100 1 $a Forsyth, David. $3 243731
245 1 0 $a Probability and statistics for computer science $h [electronic resource] / $c by David Forsyth.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xxiv, 367 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 1 Notation and conventions -- 2 First Tools for Looking at Data -- 3 Looking at Relationships -- 4 Basic ideas in probability -- 5 Random Variables and Expectations -- 6 Useful Probability Distributions -- 7 Samples and Populations -- 8 The Significance of Evidence -- 9 Experiments -- 10 Inferring Probability Models from Data -- 11 Extracting Important Relationships in High Dimensions -- 12 Learning to Classify -- 13 Clustering: Models of High Dimensional Data -- 14 Regression -- 15 Markov Chains and Hidden Markov Models -- 16 Resources.
650 0 $a Computer science $x Statistical methods. $3 198984
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Probability and Statistics in Computer Science. $3 274053
650 2 4 $a Simulation and Modeling. $3 273719
650 2 4 $a Statistics and Computing/Statistics Programs. $3 275710
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