Tag: Algorithm

Gradient Descent Optimization

GradientDescent_3

In many machine learning algorithm, the goal is to find a function or parameters that allows us to approximate or modelize unknown observable data. Those data could come from device measurement, web crawling, empirical observations etc. Generally speaking we have …

k-means

For a first article, we'll see an implementation in Matlab of the so-called k-means clustering algorithm. K-means algorithm is a very simple and intuitive unsupervised learning algorithm. Indeed, with supervised algorithms, the input samples under which the training is performed …

Combinatorial analysis - Enumerator

LogoC#In mathematics, the branch that studies number arrangement is called combinatorial analysis. This a pretty tough exercice in general because one we might think of all possiblilities, all ways numbers can be arranged. For example, try to figure how to …

2-D logistic regression

logistic regression thumbWe have previously presented a proposed implementation for the k-means algorithm on computed samples. We saw that the result performed quite well clustering our samples. The next step now is to evaluate the probablility that a new sample belongs to …