Performance improvements applied to training neural networks

The 2017–18 awards season is in full swing, and Hollywood pundits are betting on which films will take home the most awards. Although…

Read more about Towards Data Science. Your home for data science. A Medium publication sharing concepts, ideas and codes.

Who’s Tweeting from the Oval Office?

Data science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian…

Lately, neural nets have been the go to solution for almost all our machine learning related problems. Simply because of the ability of…

As Artificial Intelligence continues to push its boundaries on cognition, it takes on a challenge that we humans do so naturally — to…

The amount of visual data in the world today has grown exponentially in the last couple of years and this is largely due to lots of…

Autoencoders (AE) are neural networks that aims to copy their inputs to their outputs. They work by compressing the input into a…

Thanks so much for your interest and positive feedback! I am delighted to see that many of you find the material useful. This series is…

Schaun Wheeler’s sensible article on Data Science ethics a few weeks ago touched on an important problem for data scientists — customers…

“Machine learning in a medical setting can help enhance medical diagnosis dramatically.”

Data science is a broad term and includes job roles with many different functions within organizations. This post presents a way of…

Recent state-of-the-art architectures have employed a number of additional components to complement the convolution operation. In this…

A while ago, I had a network of nodes for which I needed to calculate connected components. That’s not a particularly difficult thing to…

Good decision-making is key to companies and institutions running efficiently and overcoming unforeseeable obstacles.

A year ago, I dropped out of grad school to co-found a startup with my brother. Our goal was simple enough: fix the data science talent…

Last week I published a brief analysis of the OpenMined platform as one of the new technologies that is trying to enable truly…

Training deep neural networks can be time consuming. In particular, training can be significantly impeded by vanishing gradients, which…

Text Analysis has been seen as one of the blackboxes of Data Analytics. The aim of this post is to introduce this simple-to-use but…