Put the time and effort in early and it will make you a great programmer later on
The phrase which proves that people don’t know what data science really is
The mythology that has been associated with Machine Learning can lead to poor judgment about when and how to apply it
Four game-changing technologies can enable a world-class analytics group
While the debate rages about a reproducibility crisis in academia, there’s a much more common one right under our noses
The recent press reports on bias in recruiting technology oversimplify a complex issue. Bias is everywhere — it’s about how you manage it.
Whether your model is meant to be explanatory or predictive has profound implications for its design
Odds and probability are different, and too many people make decisions without knowing that.
The analytics value lifecycle is a framework that can help with the design and structure of an analytics team
An aspect of mathematics that I believe to be sorely lacking in the business world, and which can lead to seriously erroneous decisions being made on a regular basis: the concept of significance when studying data.