Part 1. Introducing probabilistic programming. 1. Probabilistic programming in a nutshell -- 2. A quick Figaro tutorial -- 3. Creating a probabilistic programming application -- 4. Probabilistic models and probabilistic programs -- 5. Modeling dependencies with Bayesian and Mark…
"Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By applying specialized algorithms, programs assign degrees of probability to conclusions and make it possible to forecast future events like sales tren…
Explores the Impact of the Analysis of Algorithms on Many Areas within and beyond Computer Science. A flexible, interactive teaching format enhanced by a large selection of examples and exercises. Developed from the author's own graduate-level course, Methods in Algorithmic Anal…
Containing illustrative examples and step-by-step instructions, this book provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. --
Containing illustrative examples and step-by-step instructions, this book provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. --
"Provides a comprehensive and rigorous presentation of descriptive statistics and probability theory that has been extensively classroom tested"-
"Provides a comprehensive and rigorous presentation of descriptive statistics and probability theory that has been extensively classroom tested"--
"Provides a comprehensive and rigorous presentation of descriptive statistics and probability theory that has been extensively classroom tested"--