Cross Entropy serves as a loss function, in the context of machine learning classification problems. Learn all about the Cross Entropy Loss here.

This post will cover the Backpropagation algorithm used to train supervised Neural Networks. Motivations and mathematical details will be covered.

This article covers an implementation of the Perceptron Algorithm from Scratch. The model is first described, and then built & tested in Python.

Here I aim to have Neural Networks explained in a comprehensible way. My hope is the reader will get a better intuition for these learning machines.

Learn 7 popular Neural Network activation functions, used in architectures from the Perceptron to the most complex Deep Learning model.

Can Decision Trees be used for clustering? This post will outline one possible application of Decision Trees for clustering problems.