Artificial Intelligence, Machine Learning, Deep Learning

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

AI Systems often incorporate artificial intelligence, machine learning, and deep learning to create a sophisticated intelligence machine that will perform given human functions well. Increasingly, all three units are individual pieces of the entire AI System’s intelligence puzzle.

Machine Learning — It is an application of artificial intelligence that provides the AI System with the ability to automatically learn from the environment and applies that learning to make better decisions. There are a variety of algorithms that Machine Learning uses to iteratively learn, describe and improve data in order to predict better outcomes. These algorithms use statistical techniques to spot patterns and then perform actions on these patterns.

Deep Learning — It is the next generation of Machine Learning. It’s a subset of Machine Learning. Deep Learning models can make their own predictions entirely independent of humans. Machine Learning models of the past still need human intervention in many cases to arrive at the optimal outcome. Deep Learning models use artificial neural networks. The design of this network is inspired by the biological neural network of the human brain. It analyse data with a logical structure similar to how a human would draw conclusions.

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