Parametric ML algorithm

Machine learning can be summarized as learning a function (f) that maps input variables (X) to output variables (Y), such as Y = f(x). An algorithm learns this target mapping function from training data. The form of the function is unknown, so our job as machine learning practitioners is to evaluate different machine learning algorithms ... Read more

perceptron

A perceptron is a type of algorithm which is utilized by ANNs to solve binary classification problems.

polynomial kernel

The polynomial kernel is a kernel trick method that uses polynomial values as part of its feature space projection. The polynomial kernel is used with support vector machines (SVMs) and other kernelized ML models.