Posts

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.
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Scala is well known as a concise, readable programming language. One of the reasons is that many popular libraries offer their users DSLs to work with. These convenient APIs make creating programs simpler by saving our keystrokes and (most importantly) by improving readability. But it’s not always the case …

Sometimes we have to work with what we were given and sometimes it might be a verbose Java API. I will show you how you can make development easier by abstracting away rough edges of the underlying code. Read more