Machine learning (ML) is essentially a rules-based automation engine. An ML system is trained via rules definition to look for certain conditions and perform a pre-defined set of actions. Artificial Intelligence is built on an ML engine, but is focused on making comparisons, evaluating relevance and projecting potential outcomes as a means of initiating the best available set of actions (not just those scenarios for which it was programmed). This is important because AI is capable of interpreting spoken language (sounds), images (both still and video) and inferring data relationships that may not be explicitly defined. Conversely, ML just executes defined rules.
Nov-4-2019, 22:11:30 GMT