By Brian P.
Machine learning has become a new topic which has captured the interest of a great deal of people worldwide, but what exactly is machine learning? Machine learning is, as the name implies, a way for artificial intelligence to learn on its own. Though the process of machine learning is different now, before people use to data mine and tried to use programs to help other people understand it, machine learning on the other hand “The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension — as is the case in data mining applications — machine learning uses that data to detect patterns in data and adjust program actions accordingly” (Rouse, 2017). Programmers are no longer concerned with helping others understand massive datasets, rather just helping the computer understand it so that it can do useful tasks with that data for us. According to the same article, there are 2 types of machine learning, supervised and unsupervised. The main difference is that supervised applies what is known from the past while unsupervised is all new data in which the AI has to make inferences.