MACHINE LEARNING anglilicism that means machine learning, but which is actually something very different, such as AI or artificial intelligence in its purest definition, which is learning computers themselves through repeated processes that generate new information. For example, a CPU dedicated to recording a city's diseases gradually goes "learning" and can continuously rearrange the BD (database) by putting the most common pathologies first so as to be faster in prediction. At the same time it improves its predictability and will give an increasingly accurate probabilistic diagnostic using Bayesian combinatory statistical analysis or another. The interesting thing is that the results will vary depending on the population analyzed, historical evolution and other variables, delivering intelligent information that considers the history, trajectory and projection of a pathology dynamically ( a film) and not as a static photo. In practice machine learning translates into information that exceeds the possibilities of the most experienced humans in the subject, such as oncology or civil law.
