In today’s world, Artificial Intelligence (AI) can do magic. You ask questions to a chatbot, it responds in seconds. Once we watch a web-series on Netflix, similar series are automatically recommended. The same goes for YouTube. Think about biometric authentication, in a split of a second the …

In the first blog we discussed how vectors represent data where the tip of the vector is a point in a multi-dimensional feature space. A vector, matrix or tensor represent different forms of data as input in a multitude of Artificial Intelligence (AI) algorithms. In the pattern identification …

In blog 1, we discussed data representations. In blog 2 we talked about data transformations. We can process a plethora of information but having a lot of features does not necessarily mean that the Artificial Intelligence (AI) or Machine Learning (ML) model will be very powerful, rather the quality …