The differences between the three terminologies are quite subtle but at the same time quite a major one. And since it is the ‘subtle variation’ that makes all the three terms different, we will first have to learn each and every term individually.
I will try to explain in simpler terms first. To know the difference between the three, imagine three concentric circles.
The first circle being Artificial Intelligence, the second one representing Machine Learning, with the third one representing Deep Learning.
Now let’s take the definitions and understand what each of them means while being interrelated how diverse they are from each other.
In most elementary terms Artificial Intelligence is any system that enables your computer to mimic human behavior.
Machine learning, on the other hand, is those AI techniques that allow computers to learn, and mimic human behavior without being programmed to do so explicitly.
Remember that Deep Learning is a third circle, which means that it is a subset of machine learning that helps in the computation of multi-layer neural networks.
If I have to sum it up in one line, then here you go –
If Artificial Intelligence is human intelligence displayed by machines, then machine learning is nothing but a way to achieve that artificial intelligence. And deep learning is a system for implementing machine learning.
I hope I have made the difference clear enough for you to easily differentiate between the three and not get confused.
Go through this tutorial to dive into Artificial Intelligence:
If you are a complete beginner and want to make your career as an AI engineer then go through this Artificial Intelligence course and upskill yourself.
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