Heard of the ongoing debate in Statistics but never been sure what the fuss was all about? Here’s a quick run through to get you up to speed. What is the debate? Statistics refers to the tools we use to analyse data. …

ROC Curves can look a little confusing at first so here’s a handy guide to understanding what it means, starting from the basic related concepts: Confusion Matrix When building a classifying model, we want to look at how successful it is performing. …

A computer doesn’t have prejudice; it merely carries out operations automatically, churning out calculations unspoiled by the human errors that signify our work. And yet, some computer algorithms and models used worldwide have been exposed for their negative bias and their problematic consequences. Can a computer model be racist? Can…

Predicting how stock prices will change is a notoriously tricky business. There are millions of people whose jobs depend on it, and many different approaches, that range from pure superstition, to cutting edge machine learning models. LSTM models are a popular tool used to make quick predictions about stock movements…

I see Data Science being used and mentioned all around me constantly. Forbes magazine published 2 articles with Data Science in the headline in the past 4 days alone (at the time of writing). There are so many reasons why we as a cohort are excited to be studying this…

Humans are born with an evolutionary-honed ability to understand language — we pick up language from a very early age. As quickly as we may take to natural language, we struggle to make machines that are able to generate, understand and process natural language. NLP describes the collection of techniques…