Honest examination of when and why predictive models fail, and how to account for uncertainty.
3 articles on this topic
Model disagreement isn't a bug—it's valuable information about uncertainty. Here's how we interpret conflicting signals and what it means for betting decisions.
The first weeks of any season present unique challenges for predictive models. Here's how we approach the cold-start problem.
The most advanced AI in the world can't overcome bad input data. Here's how we think about data quality and why it's our top priority.