Matrix Calculus: The Mathematics of ‘Learning’

Over the years, I’ve worked with talented Data Scientist’s who’s backgrounds weren’t in typical quantitative disciplines, such as mathematics or statistics. I’ve had the privilege of assisting some of them to better understand the underlying mathematics behind many commonly used Machine Learning and Deep Learning algorithms. This, along with the current growth in the popularity of…

Deep Learning – Deeply Limited?

From a mathematical perspective, Deep Learning can effectively be defined as: The application of a set of complex geometric transformations to map the input space to the output space. In more detail, we are simply doing the following when developing a Deep Learning model: Vectorisation: convert input and output data into vectors ie positions of…