Data Science What is Overfitting? Overfitting is a common problem in Machine Learning. But what does it actually mean? And why is it an important problem for Data Scientists to overcome?
Data Science How to know if your recommendations algorithm is actually doing a good job I led the team that built Channel 4’s recommender system for All 4 in 2016. It started out as a straightforward project. But after getting lost in a rabbit hole trying to devise a score for ‘provocativeness’ and ‘serendipity’, I learned the single most important lesson about data science.
Data Science Will data scientists become obsolete in the next 10 years? Will tech companies still need data scientists, or are they destined to become just another blip in the history books – disappearing from the world like film projectionists and bowling alley pinsetters before them?
Data Science How to build a model that performs at chance I’m going to tell you about a horrible screwup. Not my first and not my last, but a happy one, because although it was excruciating it was also instructive.