Top 9 types of machine learning algorithms, with cheat sheet

Supervised learning models require data scientists to provide the algorithm with data sets for input and parameters for output, as well as feedback on accuracy during the training process. They are task-based, and test on labeled data sets. The most popular type of machine learning algorithm is arguably linear regression. Linear regression algorithms map simple correlations between two variables in a set of data. A set of inputs and their corresponding outputs are examined and quantified to show a relationship, including how a change in one variable affects the other.