On the other hand
The key to differentiating them, in addition to technical perfection, is precisely human intervention: With Machine Learning we supervise all processes and teach the computer to learn different data and classify it. , Deep Learning learns by itself with each new data it receives, the same thing takes an erroneous data or category once, however, it learns from that error and uses other data to get closer to the correct result each time more quickly and reliable.VIDEO How to apply Artificial Intelligence in the company Phone Number List Discharge How Machine Learning works In Spanish it is called machine learning because this AI system arose from the need to give a computer algorithms that work with rules and mechanisms that find answers among a large amount of data and at the same time be able to predict data or even suggest options.
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That is, to be clearer, work with patterns. If we are looking for a specific car, it will examine different categories: color, brand, horsepower and displacement, dimensions... And it will discard all incorrect data to provide the relevant information. The negative thing about Machine Learning is that you have to guide the system in each phase so that with practice it knows how to automatically identify it.
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