Data Science Group, IITR

In the 21st century, computer science advancement, development of intelligent machines and generation of immense amounts of data has led…

“Have you ever questioned the nature of your reality, Dolores?”

The choice of Optimisation Algorithms and Loss Functions for a deep learning model can play a big role in producing optimum and faster…

We all have used apps like Prisma and Lucid, but ever wondered how these things works? Like we give a photo from our camera roll and select…

When you hear about deep learning breaking a new technological barrier, Convolutional Neural Networks are involved most of the times.

In this blog we will understand how to use Tensoflow for Linear and Logistic Regression. I hope you have read 1st blog of this series, if…

Deep Learning is a Mandate for Humans, Not Just Machines — Andrew Ng

Mathematics is building block of Machine learning. I know math is hard to understand but it is much needed as well. Singular value…

I know. You know. Everybody knows. What?

The end is near. No, not the world, but the 12A12D series. After Linear Regression, it’s time to add more DS flavour.

After the basics of Regression, it’s time for basics of Classification. And, what can be easier than Logistic Regression!