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Probability and statistics for compu...
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Forsyth, David.
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Probability and statistics for computer science
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Probability and statistics for computer science/ by David Forsyth.
作者:
Forsyth, David.
出版者:
Cham :Springer International Publishing : : 2018.,
面頁冊數:
xxiv, 367 p. :ill. (some col.), digital ;24 cm.
內容註:
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
標題:
Computer science - Statistical methods. -
電子資源:
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
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