written by lisa tagliaferri machine learning is subfield of artificial intelligence (aithe goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilized by people although machine learning is field within computer scienceit differs from traditional computational approaches in traditional computingalgorithms are sets of explicitly programmed instructions used by computers to calculate or problem solve machine learning algorithms instead allow for computers to train on data inputs and use statistical analysis in order to output values that fall within specific range because of thismachine learning facilitates computers in building models from sample data in order to automate decision-making processes based on data inputs any technology user today has benefitted from machine learning facial recognition technology allows social media platforms to help users and share photos of friends optical character recognition (ocrtechnology converts images of text into movable type recommendation enginespowered by machine learningsuggest what movies or television shows to watch next based on user preferences self-driving cars that rely on machine learning to navigate may soon be available to consumers machine learning is continuously developing field because of thisthere are some considerations to keep in mind as you work with machine learning methodologiesor analyze the impact of machine learning processes