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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:

If you wish to learn Machine Learning in detail, you can enroll in one of the best online Machine Learning Training programs designed by experts who have covered basic-to-advance level modules in the curriculum. Our course instructors are from top organizations around the globe with in-depth knowledge and years of experience in working with Machine Learning. They will make you an expert in the core concepts of Machine Learning by teaching you regression techniques, Naive Bayes theorem, random forest, decision trees, etc. Further, you will work on a range of industry-based projects and case studies that will not only enhance your learning experience but also help you gain practical experience in the domain. Moreover, they will provide job assistance that will help you prepare for your job interview and land your dream job.

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