Probability and statistics for computer science / David Forsyth.
Material type:
TextPublisher: Cham, Switzerland : Springer, 2018Description: 1 online resource (xxiv, 367 pages) : illustrations (some color)Content type: - text
- computer
- online resource
- 9783319644103
- 3319644106
- 3319644092
- 9783319644097
- 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
- 004.072/7 23
- QA76.9.M35
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.
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English
Online resource; title from PDF title page (SpringerLink, viewed December 26, 2017).