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How Artificial intelligence, Machine Learning, and Deep Learning differ from each other?

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The difference between Artificial Intelligence, ML, and Deep Learning is given in the below table:

Artificial Intelligence Machine Learning Deep Learning

The term Artificial intelligence was first coined in the year 1956 by John McCarthy. The term ML was first coined in the year 1959 by Arthur Samuel. The term DL was first coined in the year 2000 Igor Artificial Intelligencezenberg.

It is a technology that is used to create intelligent machines that can mimic human behavior. It is a subset of Artificial Intelligence that learns from past data and experiences. It is the subset of machine learning and Artificial Intelligence that is inspired by the human brArtificial Intelligencen cells, called neurons, and imitates the working of the human brArtificial Intelligencen.

Artificial Intelligence completely deals with structured, semi-structured data. ML deals with structured and semi-structured data. Deep learning deals with structured and unstructured data.

It requires a huge amount of data to work. It can work with less amount of data compared to deep learning and Artificial Intelligence. It requires a huge amount of the data compared to the ML.

The goal of Artificial Intelligence is to enable the machine to think without any human intervention. The goal of ML is to enable the machine to learn from past experiences. The goal of deep learning is to solve the complex problems as the human brArtificial Intelligencen does, using various algorithms.

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AI stands for Artificial Intelligence. It is a technique which enables machines to mimic human behavior.

Machine Learning is a subset of AI which uses statistical methods to enable machines to improve with experiences.

Deep learning is a part of Machine learning, which makes the computation of multi-layer neural networks feasible. It takes advantage of neural networks to simulate human-like decision making.

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