algorithm – by Will Wheeler

The Arnoldi algorithm reduces a large matrix to a smaller one to simplify finding the largest eigenvalue(s) by the QR method, which is the standard way of finding eigenvalues. **Read More ›**

algorithm – by Matt Zhang

AdaBoost is a systemmatic way to construct a complicated model (strong learner) by combining many copies of a simple model (weak learner). Each simple model is fit to a reweighted data set, where unexplained data have higher weights. **Read More ›**

algorithm – by Alex Munoz

Fractal compression uses self-similarity in images and functions to reduce the redundant content. This technique takes redundancies and stores them as affine transformations with a set of coordinates. **Read More ›**

algorithm – by Benjamin Villalonga Correa

With Supervised Machine Learning techniques we can train a model to be able to recognize and classify inputs such as handritten digits, human faces, objects in a picture or sports teams with high chances of winning a game. One of the most used strategies for doing so is the use of artificial neural networks. **Read More ›**