Practical insights on data analysis, visualization, and making the most of your analytics tools.
How adversarial attacks deceive networks by making tiny changes to an input
Vítor Fróis
Browse our deep dives and other articles
Exploring how regularizers restrict the search space for a problem in such way that dumb solutions are no longer an option.
When agile experimentation at startups becomes a p-hacking trap
Thaís Steinmuller
How can we know anything about the world if we can’t see all of it? Confidence intervals help us reason with limited information, giving us a range where we can expect the true value to lie.
Why Bayesian methods can be more interesting and intuitive than frequentist ones when it comes to A/B testing.
Darts-based explanations about Bias-Variance tradeoff never convinced me, so I decided to break it down: what’s really behind this dilemma?