Probability and statistics for computer science. (2018)

• Record Type: Book
• Further Information: Note: David Forsyth.
• Authors: Forsyth, David
• Contents: 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.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (xxiv, 367 pages), illustrations (some color)
• Subjects: 004.072/7; 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
• Languages: English
• ISBNs: 9783319644103; 3319644106; 3319644092; 9783319644097
• Related ISBNs: 9783319644097
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed December 26, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.