Abstract: In this article, you will learn why machine learning algorithms find it hard to detect novelty, ponder over how humans are better at this, find out why some common approaches fall short and appreciate the benefits should there be a way to get machine learning algorithms to say —…

Abstract: In this article, you will learn what factors may contribute to cardiovascular risk, how they may be factored into a Deep Learning model to predict risk, why it may make little sense in predicting a risk to health without offering any explanation, where does Explainable AI (XAI) step in…

BlueDot’s mission is to protect people around the world from infectious diseases with human and artificial intelligence. Their system became aware of the pneumonia cases (now called COVID19) in Wuhan on December 31–2019. They publicly released their findings in the Journal of Travel Medicine on January 14–2020. An article in…

It is our fancy to call a certain block of time, a certain age — the stone age, the industrial age, the information age etc. Until recently, this age was known as the “Artificial Intelligence Age” given the widespread impact that AI was beginning to have on our lives. That…

Let us take a use case where a company that owns a popular, leading job portal with millions of users wishes to roll out a new training course on — How to prepare for Data Science interviews? The company wishes to identify a pilot user group of say few hundreds…

A Decision Tree is a simple but powerful learning and classification model that is used in supervised machine learning. A Decision Tree is a classifier in the form of a tree that contains decision nodes and leaves. As shown in Figure 1, each internal node represents a test on an…