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artificial intellegence
11 Jan 2021

Artificial Intelligence, Machine Learning and Deep Learning

Artificial and Intelligence in the comprised form are known as Artificial Intelligence. The ability to understand or think is known as Intelligence and Artificial is referred to what is made by human or non-natural things. Artificial Intelligence is misconceived as a system but it is not a system in reality. Artificial Intelligence can be defined as it is the study of how to train the machine so that machines can do things better than present humans. To add the capabilities to machines that humans contain, it is that sort of intelligence. To replicate the human brain the way it thinks works, and functions are what exactly AI means.

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In today’s scenario most MNC’s invest in artificial intelligence projects as it is used in daily lives and we all interact with artificial intelligence while using smartphones, social media, and e-commerce sites. Another type of AI that we use while interacting is “Machine Learning”.

It has been observed over the past two years that Artificial Intelligence is a superset of two terms: machine learning and deep learning. Machine learning is referred to as a machine that can learn on its own without being explicitly programmed. To provide a machine that has the ability to learn without human intervention and get better from experience. Here we can create a program by integrating the input and output of the program.

Deep learning is a subset of machine learning. Deep Learning creates AI neural network that can learn and make intelligent decisions by using unstructured data. Neural networks are comprised of interconnections between neurons and inspired by the biology of brains. Individual neurons in the first layer pass the data to the second layer and further second layer performs its task so on… and produced the final output.

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The difference between these two terms is the models that are related to machine learning are better progressed but the model still needs some kind of guidance on the contrary deep learning models to do by themselves. An example of deep learning is the automatic car driving system.

By the use of machine learning and deep learning, we will be able to achieve artificial intelligence in the future.