Understanding Artificial Intelligence vs Machine Learning

According to John McCarthy, ‘The science and engineering of making intelligent machines, especially intelligent computer programs’ is Artificial Intelligence.

To understand Artificial Intelligence vs Machine Learning, let’s look at the categories of Artificial Intelligence.

There are two categories of Artificial Intelligence:

Artificial Intelligence

In this, the machine programs act according to a well-defined response. They are confined to a set of rules that we provide, and they give response within the domain of those rules.

A common example can be a home appliance like an oven. We can set the timer and temperature in it according to the need. It performs the task according to the given instruction. It does not have the ability to make decisions and make any changes by itself. So, it comes under the category of Weak Artificial Intelligence.

Machine Learning

Machine Learning is the subset of AI where Machine Learning algorithms are designed in such a way that the machine tries to learn by itself without being explicitly programmed on each and every instruction. So, as it will be exposed to more and more data, it tries to internally modify itself and adjust according to the data to which it is exposed so that it will not rely on human experts to program them.