Machine learning (ML) is a sub-field of AI and has become popular in the last 10 years and, at times, the two are used interchangeably. AI has a lot of other sub-fields aside from machine learning. ML systems are built by showing lots of examples, unlike symbolic AI, where we hard code rules to build the system. At a high level, machine learning systems look at tons of data and come up with rules to predict outcomes for unseen data:
Machine learning versus traditional programming
Most ML algorithms perform well on structured data, such as sales predictions, recommendation systems, and marketing personalization. An important ...
