Math.2: Neutal Networks

Learn more about Neural Networks theory and implementation. Download the compact tutorial flyer here: Math.2_Neural_Networks

Neural Networks are widely used for predicting behaviour of unknown data. Compared to Linear Regression they allow automatic learning of highly characteristic features from training data.

Math.1: Linear Regression

Learn more about Linear Regression theory and implementation. Download the compact tutorial flyer here: Math.1_Linear_Regression

Linear Regression is a widely used machine learning algorithm, capable of fitting arbitrary sets of functions to n-dimensional data points. It is able to predict (interpolate, extrapolate) behaviour as well as filter noise.