Programming languages have been out there for decades. Each language is built to satisfy a certain need. As of today, the world counts about 700 notable programming languages. While about 250 managed…
Extreme Value Analysis (EVA) is a statistical methodology that is used primarily to estimate the probability of events that are rarest compared to any previously observed. The fields of application…
Say you’ve written a really cool script in Python to do some interesting data analysis and now you want to demonstrate it to others. Chances are, sending over a .py file and asking others to run it…
The field of machine learning is so broad and vast it’s easy to get lost in it. I spent my first few months in machine learning splashing around in the shallow end of the pool, not even realizing I…
With a field as radically changing with constant progression like data science, it is easy to see why sometimes the most in-demand tools for any given moment in time might be quite difficult to…
In 2012, Disney invested $350 million in a movie that seemed to have all the elements of a box office success. It was action-packed and had stunning visual effects. It was helmed by a star writer and…
In the era of digital transformation, companies are collecting almost every type of data. Sensors, financial, and logistic data are just a few examples. However, at least one important type of data…
In this post, we will walk through a few simple steps to setting up TensorFlow 2.4 (the latest major version) with GPU acceleration enabled on a cloud VM running Debian or Ubuntu. Tested with NVIDIA…
Real-world data is messy, and we know it. Not only does such data require a lot of cleaning, a lot of times, the format in which we receive data is also not suited for analysis. This means that…
A few weeks ago, Facebook released a new ML model (Data-Efficient Image Transformer, DeIt) that achieves state-of-art image classification performance using only the ImageNet dataset (1.2 million…
