Data Science

The challenges around managing data, using something as simple as a rain forecasting as an example.

In the world of data science and statistics, results are only as good as the data you use. This becomes increasingly important in machine learning and artificial intelligence, as when using these ‘black box’ algorithms, the origins of predictions or results are both unknown and untraceable.

As a statistician by trade, I have worked in many jobs in which I have had to advise people on what methods to use, for what data, and how.

Data is everywhere now, with ‘big data’ methods becoming increasingly popular in business. In this article, we are going to...