A pretty hot topic lately is machine learning – the inter-sectional discipline closely related to computational statistics that lets computers learn without being explicitly programmed.

It has been found to be of significant use in the field of data analytics – from estimating loan and insurance risk to trying to autonomously steer a car in real-life conditions.

In the following post, I would like to introduce to the reader MLlib – a machine learning library that is part of the Spark Framework.
Read more