Dan's Software Engineering HandbookMachine Learning (ML)
A class of algorithms and software tools that rely on various statistical and mathematical models, in addition to penalty, weighting, and layering mechanisms. One main goal of ML is to provide computers with the means to solve problems without requiring explicit code to be written to do so.
There are a large variety of ML algorithms, each with different benefits and drawbacks. Some common ways to measure ML algorithms are their: precision, accuracy, recall, and learning rate. Depending on the data and the problem at hand, data scientists will choose an algorithm and tweak it, often coming up with a number of iterations of an ML algorithm, before finalizing on one model.