equentlyProgrammer Competency Matrix | IndianGeek
Basic sorting, searching and data structure traversal and retrieval algorithms
pretty coolSingular Value Decomposition
."Main Page - Eigen
Overview Eigen is a C++ template library for linear algebra: vectors, matrices, and related algorithms. It is: * Versatile. (See modules and tutorial). Eigen handles, without code duplication, and in a completely integrated way: o both fixed-size and dynamic-size matrices and vectors. o both dense and sparse (the latter is still experimental) matrices and vectors. o both plain matrices/vectors and abstract expressions. o both column-major (the default) and row-major matrix storage. o both basic matrix/vector manipulation and many more advanced, specialized modules providing algorithms for linear algebra, geometry, quaternions, or advanced array manipulation. * Fast. (See benchmark). o Expression templates allow to intelligently remove temporaries and enable lazy evaluation, when that is appropriate -- Eigen takes care of this automatically and handles aliasing too in most cases. o Explicit vectorization is
Main Page - Eigen
Eigen 2 is a C++ template library for linear algebra: vectors, matrices, and related algorithms.The Twitter Approval Matrix -- New York Magazine
RT @AudioJungle: The Twitter Approval Matrix http://bit.ly/d3lqj
An infographic showing the best and worst Twitterers
Horifically unfunny, but the fact it includes Kurt Andersen makes it a black hole of irony http://tinyurl.com/cgrdda (via @eliztesch)
"Our deliberately oversimplified guide to whose tweets are worth following."
Our deliberately oversimplified guide to whose tweets are worth following.Feature Column from the AMS
An intuitive explanation of the geometric meaning behind SVD.
Good explanation of the SVD
Quick implementation of the Netflix recommendation algorithm (probablistic matrix factorization) in Python.
probabalistic matrix factorisation
I test my code using synthetic data, where I first make up latent vectors for users and items, then I generate some training set ratings by multiplying some latent user vectors by latent item vectors then adding some noise. I then discard the latent vectors and just give the model the synthetic ratings.Матрица компетентности программиста - Google Docs
часть 2: http://docs.google.com/View?docid=d28gm4q_56hmv6f72zxkcd - A Webcomic - Matrix Revisited
too bad they never made any sequels
xkcd - A Webcomic - #566: Matrix Revisited