This article will provide a high level understanding of effective ways to set up a data science function in 3 types of organisations: (1) Startups, (2) Medium Size Orga...
What is computer vision? Nowadays, computer vision (CV) is one of the most widely used dimensions of machine learning. The main task of computer vision is to understand t...
For a person being from a non-statistical background the most confusing aspect of statistics, are always the fundamental statistical tests, and when to use which. This bl...
This post is a token of appreciation for the amazing open source community of Data Science, to which I owe a lot of what I have learned. For last few months, I have been ...
What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even...
While a reliable method to accurately identify suicidal patients is missing from medical literature, researchers are continually striving for AI-solutions to predict and...
Understanding what a model doesn’t know is important both from the practitioner’s perspective and for the end users of many different machine learning applications. I...
A list of machine learning frameworks has come into the picture for the development and deployment of the AI apps. These frameworks will ditch the entire flow of developm...
I’m a big college sports fan, especially active in debates about which D1 conference is best. Five years ago, I came across the Learfield Directors’ Cup, an ...
Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this. However, the latest tren...