Probability and statistics for computer science /
004.072/7
Forsyth, David,
Probability and statistics for computer science / David Forsyth. - 1 online resource (xxiv, 367 pages) : illustrations (some color). -
Includes index. Academic 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.
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time;
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
English
9783319644103 3319644106 3319644092 9783319644097
10.1007/978-3-319-64410-3 doi
com.springer.onix.9783319644103 Springer Nature
GBB8J9976 bnb
Computer science., Computer science, Statistical methods.Computer science, Statistical methods.Computers, Computer Simulation.Computers, Mathematical & Statistical Software.3D graphics & modelling., Mathematical & statistical software., Computer simulation., Mathematical statistics., Maths for computer scientists.,
Electronic books.
QA76.9.M35
Forsyth, David,
Probability and statistics for computer science / David Forsyth. - 1 online resource (xxiv, 367 pages) : illustrations (some color). -
Includes index. Academic 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.
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time;
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
English
9783319644103 3319644106 3319644092 9783319644097
10.1007/978-3-319-64410-3 doi
com.springer.onix.9783319644103 Springer Nature
GBB8J9976 bnb
Computer science., Computer science, Statistical methods.Computer science, Statistical methods.Computers, Computer Simulation.Computers, Mathematical & Statistical Software.3D graphics & modelling., Mathematical & statistical software., Computer simulation., Mathematical statistics., Maths for computer scientists.,
Electronic books.
QA76.9.M35