Fundamentals Series — The CRISP-DM Methodology All good data science projects should begin with a structure to ensure that the project is well-organised, efficient, and effective. These structures help to define the roles and responsibilities of team members, as well as a clear plan for achieving the project’s goals. The most widely-used framework for data…

Leadership Series — The first moment that I pondered a pathway to technical management is still unclear to me; it was most probably a very steady realisation over the many roles where I was privileged to be given a lot of responsibility and autonomy. For example, when I was a tutor, I…

Machine Learning Series — Modelling my life decisions I’ve been a bit stagnant with my blog posting these last six months. I started an exciting new job blending data science with operations research, began my management journey as a data visualisation team lead for a volunteer organisation, raced the clock to move back home (on the other…

Machine Learning Series — The curious case of linear regression This evening I re-watched “The Curious Case of Benjamin Button” — a film where the protagonist regresses in age as time passes. Amongst various philosophical thoughts, I began pondering regression in the statistical sense.

Machine Learning Series — Classifying problems reduces decision fatigue When learning something new, we tend to understand it from the perspective of something with which we are already familiar. We can approach a problem in so many ways, but one of the most important things I learned in my degree was to classify a problem before establishing a…

Machine Learning Series — When I first started independently working on machine learning problems, I found some difficulty with knowing which algorithms to choose or which metrics would best evaluate model performance. My university education had taught me these things, but the learning curve for my data mining class was famously steep. Somewhere…

DataViz Series — Systemising data visualisation Let’s be data visualisation critics for a moment. Can you guess what’s wrong with the following chart? How would you fix it?

DataViz Series — Data types define the way we interact with data If you have read the welcome post, you will know that I was a mathematics tutor for five years. My students may not have realised it, but their questions often strengthened my understanding of mathematics. On one such occasion, a student directed my attention to a page of their…

A Algorithm: Refers to a step-by-step process to solve a particular problem. Analytics: The process of investigating, cleaning and transforming data to discover valuable information. Also called data analysis. Arc: An ordered pair of vertices in a directed graph, represented by an arrow. See directed graph, vertex. Artificial Intelligence (AI): The…