Big Data has become synonymous with Data engineering. But the line between Data Engineering and Data scientists is blurring day by day.

It seems that the way that I consume information has changed a lot.

Too much data is getting generated day by day. Although sometimes we can manage our big data using tools like Rapids or Parallelization, Spark is an excellent tool to have in your repertoire if you are working with Terabytes of data.

I am a Mechanical engineer by education. And I started my career with a core job in the steel industry.

Recently, I got asked about how to explain confidence intervals in simple terms to a layperson.

Have you ever faced an issue where you have such a small sample for the positive class in your dataset that the model is unable to learn?

A Machine Learning project is never really complete if we don’t have a good way to showcase it.

What do we want to optimize for? Most of the businesses fail to answer this simple question.

Creating a great machine learning system is an art. There are a lot of things to consider while building a great machine learning system.

One of the main tasks while working with text data is to create a lot of text-based features.