Probabilistic Programming and Bayesian Methods for Hackers
by Cameron Davidson-Pilon
Publisher: GitHub, Inc. 2013
Description:
This book is designed as an introduction to Bayesian inference from a computational understanding-first, and mathematics-second, point of view. The book assumes no prior knowledge of Bayesian inference nor probabilistic programming.
Download or read it online for free here:
Read online
(online html)
Similar books
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphicsby Justin Solomon - CRC Press
Using examples from a broad base of computational tasks, including data processing and computational photography, the book introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into theoretical tools.
(9949 views)
Algorithms in Real Algebraic Geometryby S. Basu, R. Pollack, M. Roy - Springer
The monograph gives a detailed exposition of the algorithmic real algebraic geometry. It is well written and will be useful both for beginners and for advanced readers, who work in real algebraic geometry or apply its methods in other fields.
(18022 views)
Axiom: The Scientific Computation Systemby Richard D. Jenks, Robert S. Sutor - axiom-developer.org
Axiom is a free general purpose computer algebra system. The book gives a technical introduction to AXIOM, interacts with the system's tutorial, accesses algorithms developed by the symbolic computation community, and presents advanced techniques.
(23100 views)
Art Gallery Theorems and Algorithmsby Joseph O'Rourke - Oxford University Press
Art gallery theorems and algorithms are so called because they relate to problems involving the visibility of geometrical shapes and their internal surfaces. This book explores generalizations and specializations in these areas.
(20770 views)