Artificial Intelligence vs Machine Learning vs Deep Learning

In todays time , everyone has the confusion about the Artificial Intelligence, Machine Learning and the Deep Learning. As in this article we are going to see the difference between these three which will be benefitted for clearing the confusion.

Artificial Intelligence

So, First we will discuss about the Artificial Intelligence.

“Artificial Intelligence is an ability of computer program to function like a human brain.”

Artificial Intelligence is like science like math's and biology. It studies the process like a human brain and function the same. It studies various programs and machines to have the creative, easy and intelligent solution to the problem. AI replicates the the human brain and the way how human brain thinks, works and performs the work.

Artificial Intelligence is very different from the other two the machine learning and the deep learning. Actually the ML and DL are the subset of the AI.

Figure 1 — Artificial Intelligence working as human brain.

Machine Learning

“Machine Learning is a technique of parsing data, learn from that data and then apply what they have learned to make an informed decision”

Machine Learning is an subset of Artificial Intelligence. ML is the ability of the system to automatically learn and perform the work by itself without explicitly programming the code every time.

Nowadays, many top companies are using the machine learning concept to provide the user better and improved experience. For example Amazon AWS is also using the Machine Learning for better user experience and better product choice to the user.

Figure 2 — How we can imagine Machine Learning

Deep Learning

“It is a subset of machine learning, which uses the neural networks to analyze different factors with a structure that is similar to the human neural system.”

As the name suggest its Deep Learning which means we have to learn the concept in so deep that it implements the code by itself.

We can say that the DL and ML are almost the same as deep learning uses the neural networks to analyze the different factors. If the Machine Learning model or the algorithm fails the programmer will need to code the algorithm explicitly but in deep learning the code is repaired or we can say it solves the problem occurred by itself we don't have to work on the code multiple times.

Figure 3 — Deep Learning

Conclusion

So now we can differ between AI vs ML vs DL.

AI is the ability to capture the human brain and to work as human brain.

ML is to collect the data and perform algorithms on data automatically such as if any problem occurs it should resolve it by itself.

In DL the machine should resolve the problem by itself without explicitly preforming the code every time.