Original article was published by PENINAH GATHONI on Artificial Intelligence on Medium
How Does Machine Learning Work?
A Machine Learning system learns from historical data, builds the prediction models, and whenever it receives new data, predicts the output for it. The more the training data , the higher the accuracy of the prediction.
In traditional programming , a developer has to program the rules in code manually while in ML , the model learns form data and comes up with the program which can later be applied on new data to make predictions. This difference is seen below.
As a summary , machine learning is a data driven technology that learns from historical data , improves automatically without being explicitly programmed and makes predictions on new data.
In the next section , we go through the types of Machine Learning.