
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
Algorithmic Algebraby Bhubaneswar Mishra - Courant Institute of Mathematical Sciences
The main purpose of the book is to acquaint advanced undergraduate and graduate students in computer science, engineering and mathematics with the algorithmic ideas in computer algebra so that they could do research in computational algebra.
(25273 views)
Vector Math for 3D Computer Graphicsby Bradley Kjell - Central Connecticut State University
A text on vector and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed for college-level computer graphics text books. Useful to computer science students interested in game programming.
(25546 views)
Think Stats: Probability and Statistics for Programmersby Allen B. Downey - Green Tea Press
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.
(27002 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.
(21087 views)