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Today our things are getting smarter and this includes everything from smartphones to cars to digital assistance and also robots. They are just not growing in features but are also performing tasks they were not programmed for. You'll wonder how is this possible, well Artificial Intelligence has made this possible which is commonly known as AI. We have been a hearing Artificial Intelligence, Machine Learning and Deep Learning quite a lot these days; they have seemed to create a lot of buzz around, and why not these emerging technologies have changed the face world today and have great potential in changing it further.

Concept of AI:

Artificial Intelligence, Machine Learning and Deep Learning are being used quite irreplaceably today but this is not the case these are different terms having unique identities and meanings that are closely related to each other. To understand the concept in a very simple and plain language let us consider this figure:

This picture gives us a clearer view of what actually is the relation between the three. Artificial Intelligence is the whole concept and Machine Learning is one of the approaches used for implementing Artificial Intelligence and further Deep Learning an approach to implement advance Machine Learning.

Relation of AI and ML

Artificial Intelligence as a whole idea to make machines smarter and make them work like humans. We have been surrounded by various applications of AI in various sectors like in Medicine and Health Care, Aviation, Sports and Athletics, Finance and many more. We have seen robots that actually perform the work which earlier was performed by humans. This has not only revolutionized the technology but has also made work easier for humans as they have high speed and accuracy. They work well in tough terrains where human survival is next to impossible and this has simplified human work. AI has different types: weak and strong. Weak AI means that the machine will perform only the tasks it is programmed for which implies it would work well only for the programmed inputs and outputs and wouldn't work for the ones that are provided to it. Whereas, Strong AI means the machine will also perform tasks for which it has not be programmed which means that machines are becoming smarter through the information provide to them.

How ML Works

Here comes the role of Machine learning which is used for the implementation of AI. Machines are provided with data of the past and are also made adaptable to experiences and changes through which they learn. The outcomes solely depend on the quality of information the machine is provided with. The information should be good and highly accurate so that the predictions can be accurate. Therefore, Machine Learning is one of the ways of data analysis that automates analytical model building.

So, we can say that Machine Learning is one of the driving tools that are required for the implementation of the Artificial Intelligence. Today it is the only tool being used but will not be the only tool that could be used in future.