How Artificial intelligence, Machine Learning, and Deep Learning differ from each other?
The difference between AI, 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 Aizenberg .|
|It is a technology that is used to create intelligent machines that can mimic human behavior.||It is a subset of AI that learns from past data and experiences.||It is the subset of machine learning and AI that is inspired by the human brain cells, called neurons, and imitates the working of the human brain.|
|AI 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 AI.||It requires a huge amount of the data compared to the ML.|
|The goal of AI 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 brain does, using various algorithms.|
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Sophia is a social humanoid robot developed by Hong Kong-based company Hanson Robotics. Sophia was first turned on on February 14, 2016, and made her first public appearance at South by Southwest Festival in mid-March 2016 in Austin, Texas, United States.
The robot, modeled after the ancient Egyptian Queen Nefertiti…