Probability and Statistics for Computer Science
-15%
portes grátis
Probability and Statistics for Computer Science
Forsyth, David
Springer International Publishing AG
06/2019
367
Mole
Inglês
9783319877884
15 a 20 dias
990
Descrição não disponível.
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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Summarizing 1D data;Boxplots;Datasets;Spatial data;Random variables;Conditional probability;Expected values;Discrete distributions;Continuous distributions;Confidence intervals;Clustering;Markov chains;regression;Significance of evidence
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
