東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Probability and statistics for compu...

Forsyth, David.

Linked to FindBook

Google Book

Amazon

博客來

Probability and statistics for computer science

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probability and statistics for computer science/ by David Forsyth.
Author:	Forsyth, David.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xxiv, 367 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Computer science - Statistical methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-64410-3
ISBN:	9783319644103

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

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

3299456
Computer science
--Statistical methods.

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0727

Probability and statistics for computer science
LDR:01492nmm a2200313 a 4500 001 2132696
003 DE-He213
005 20171214223749.0
006 m d
007 cr nn 008maaau
008 181005s2018 gw s 0 eng d
020 $a 9783319644103 $q (electronic bk.)
020 $a 9783319644097 $q (paper)
024 7 $a 10.1007/978-3-319-64410-3 $2 doi
035 $a 978-3-319-64410-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.M35
072 7 $a UYAM $2 bicssc
072 7 $a UFM $2 bicssc
072 7 $a COM077000 $2 bisacsh
082 0 4 $a 004.0727 $2 23
090 $a QA76.9.M35 $b F735 2018
100 1 $a Forsyth, David. $3 749294
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 3299456
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Probability and Statistics in Computer Science. $3 891072
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-64410-3
950 $a Computer Science (Springer-11645)