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Sunday, March 26, 2017

Artificial Intelligence, Machine Learning, and Deep Learning and How they Differ from One Another | TrendinTech

"These are three terms that are heard all the time now, but often people still get confused about what each one really entails." inform Ryan Young | TrendinTech.

Photo: ShutterStock

Below is a quick rundown of each that will hopefully things out a little and give you a real insight as to what these interchangeable terms mean.

Artificial Intelligence, or AI for short, is the broadest way in which to describe computer intelligence.  Back in1956 it was described as “Every aspect of learning or any other feature of intelligence can in principle is that a machine can be made to simulate it” at the Dartmouth Artificial Intelligence Conference. AI can come in various forms including game-playing computer programs and voice recognition systems...

Machine learning (ML) is a subdivision of AI that involves machines deciphering data and learning for themselves.  It’s used a lot throughout the businesses of today as is very efficient when used in areas such as speech, object, and facial recognition, translation, and other tasks...

That then leads us to Deep Learning, which is a subdivision of ML. It too makes use of certain ML techniques by tapping into neural networks that mimic a human’s decision making.
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Source: TrendinTech