Practical insights on data analysis, visualization, and making the most of your analytics tools.
Exploring how regularizers restrict the search space for a problem in such way that dumb solutions are no longer an option.
Vítor Fróis
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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?
Building an intuitive comprehention on recommendation based on distances and the Pearson coefficient