What is Machine Learning?

With the advent of new technologies, machine learning of today is not like the machine learning of the past. It was born from pattern recognition and the theory that computers can learn without being programmed to perform specific task.

Researchers interested in artificial intelligence wanted to see if computers can learn from data.

the iterative effect is considered as the models try to obtain information from new data so therefore the models need to work inherently.

Since machine learning models have been here for a long time but with the advent of big data and the ability to apply calculations to it over and over is a recent development.

Machine learning is a subset of artificial intelligence which teaches computer to learn from data and improve with experience instead of being programmed to do so.

In machine learning computers are made to recognize patterns and correlations in the dataset and make future prediction and decision.

Machine learning application improve with time and become more accurate as they improve with data.