Event Driven Machine Learning – TKTheTechie

Machine Learning, as defined by Wikipedia, "is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks." Running a machine learning algorithm/program on your data is only part of the puzzle – once you get the signal or result, you would need to take action on it, typically in combination with other data that is coming in from other sources.