Probability and Statistics for Computer Science

• Κύριος συγγραφέας: Forsyth, David (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Mathematical statistics.; Computer simulation.; Statistics .; Probability and Statistics in Computer Science.; Simulation and Modeling.; Statistics and Computing/Statistics Programs.

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topic...

Πίνακας περιεχομένων:

• 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.