What is Machine Learning?
Machine Learning is a branch of Artificial Intelligence(AI), in which we make our machines learn as humans learn from past data, gradually surpassing humans in predictions.
Machine Learning has gradually seen a massive increase and its applications are seen in the day-to-day things we use like Netflix.
The term ‘Machine Learning’ originally was invented based on a model of ‘Brain Cell Infection’. The model was created in 1949 by Donald Hebb in a book titled ‘The Organisation of Behaviour’, which presents Hebb’s theories on neuron excitement and communication between neurons. Later, an American Pioneer Arthur Samuel coined the term ‘Machine Learning in 1959.
Arthur Samuel defined Machine Learning as “ a field of study that gives computers the ability to learn without being explicitly programmed”.
Need for Machine Learning
In today’s era, Machine Learning has seen a great demand as in this digital era, Data is the life source of businesses. Data-driven decisions effectively make the difference between keeping up in the competition and producing data-effective predictions that keep companies ahead of the competition.
Machine Learning is used in all types of industries and businesses:
Manufacturing
Retail
Health and Life Sciences
Travel and Hospitality
Financial Services
Energy
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