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Could someone clearly explain the history of machine learning?

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Machine Learning is a demanding technology that haves organizations make improved and well-informed business decisions. It uses various neural networking models and algorithms that allow systems to improve their performance automatically without being explicitly programmed.

The foundational basis of Machine Learning is based on a brain cell interaction model. This model was developed in the year 1949 by Donal Hebb. He presented this model in a book called ‘The Organization Behaviour’ wherein he introduced his theories on communication between multiple neurons and neuron excitement.

The video below aims to help you get a general idea of Machine Learning:

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