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Artificial Intelligence v.s Machine Learning vs Deep Learning.


Majority of the people get confuse about the concept of Deep learning, Machine learning and Artificial intelligence. People misinterpret these terms. So, this blog to flush of the confusing from the people’s mind. Deep learning, Machine learning and Artificial intelligence are interrelated with each other. 

"Deep learning is subset of Machine learning and machine learning is the subset of Artificial intelligence".


Artificial intelligence: It enable the machine to think. Getting solution via thinking require related data though which decision can be made. And to optimize the speed of AI getting to the solution data should be in sorted form. To solve that problem machine learning is used. The work of machine learning is to sort the data and analyse the given data by the user. Here comes a drawback in this platform we have to add manually the data, because it can’t identify what’s written on the screen. So, when it comes to huge amount of data entering data manual can be headache. To eliminate this problem Deep learning is used. Deep learning is a multi-neural network which identify the given data.
Example: You would have used a feature of google photo which sort your gallery photo into same folder having same feature.

How it happens?

So, first google scan all your pic with the help of neural network and collect your face data. To do this it uses deep learning concept to gather the detail This detail is fetch into the machine learning block and according to the facial feature google photo sort the pics. This is the example of machine learning were deep learning plays an important role.

Conclusion: Deep learning is an important part of machine learning. And machine learning is an important part of Artificial intelligence

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