Edward – Home
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and mach
Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares
Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares Stephen Boyd and Lieven Vandenberghe Cambridge University Press This book is used as the textbook for our own courses ENGR108 (Stanford) and EE133A (UCLA), where you will find additional related material. If you find an error not listed in our
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Mafs: React components for interactive math
Example Gallery
GitHub - WZBSocialScienceCenter/geovoronoi: a package to create and plot Voronoi regions within geographic boundaries
The Roadmap of Mathematics for Machine Learning
GitHub - tarcieri/micromath: Embedded Rust arithmetic, 2D/3D vector, and statistics library
Mathpix: convert images to LaTex.
MIT 18.06 Linear Algebra, Spring 2005
