Have you ever been confused by the terms Artificial Intelligence, Machine Learning and Deep Learning? Every time a new concept or technique is invented, a new term is introduced to the public. As a result, the difference between all terms can be very unclear and they can be used either interchangeably or incorrectly. In the case of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) the concepts are closely related which makes it even more challenging to highlight the differences.
The easiest way to think of their evolution is to imagine them as concentric circles where AI is the idea that came first therefore its the largest, overarching concept. AI stands for human intelligence exhibited by machines. Then Machine Learning came later as an approach to achieve AI. In the recent years, Deep Learning — which can be considered a technique for implementing ML is experiencing its worldwide explosion. This is just a simple explanation of the structure. If you want to find out more about these terms, follow the link below for more detailed and elaborate explanation.
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