Blog

Insights on data science, machine learning, and analytics

Simple vs. Stratified Sampling What's the Difference?

In research, the best data you can feed a model is the whole population. After a decade of working with data, working with the entire population is almost never the case. For most of the analyses we create, we end up working with a sample.

April 10, 2026 • 2 min read • 18 views

sample data survey

The Statistical Trick That Lets 1,000 People Represent Millions

Growing up, watching the first presidential elections after the military dictatorship in Brazil caught my attention. I watched a very young governor take the lead in the general elections

Apr 03, 2026 • 5 min

clt binomial distribution

Central Limit Theorem

The central limit theorem (CLT) is, arguably, the most important theorem in statistics. It is, in many cases, an introductory statistics course.

Mar 30, 2026 • 2 min

Models Charles Box

All Models Are Wrong!

”All models are wrong, but some are useful.” Charles Box

Mar 27, 2026 • 2 min

theory no free lunch

What Universal Optmization Works Best? No-Free-Lunch Theorem

There are hundreds, if not thousands, of algorithms and statistical methods. When I first started in this field, the first method I tried in every single dataset was K-means. It was my go-to algorithm.

Mar 25, 2026 • 2 min

logistic regression

Unweighted and Weighted Logistic Regression Models

Even after so many years, I still remember one of my very first logistic regression projects. I was so proud of it. Until my supervisor kicked it back and told me that I had to weigh it.

Mar 19, 2026 • 3 min

The AI Bubble Nobody Wants to Talk About

There isn't one day when I open the news or social media that I don't come across AI news.

Mar 16, 2026 • 5 min

ai embedding

What Are Vector Embeddings?

Is vector embedding one of those buzzwords in data science? What are they and why are they important? In short, they are decoders or translators, essential for machine learning.

Mar 12, 2026 • 2 min

statistics p-value

Why P-Values Don't Mean What Most People Think They Mean

Very early in my PhD program, I began working with and testing hypotheses. One of the first challenges I had to overcome was understanding the p-value.

Mar 12, 2026 • 3 min

Search

Popular Tags

About This Blog

Sharing knowledge about data science, machine learning algorithms, and practical applications of predictive analytics.

Learn More

Stay Updated

Get notified about new posts and projects

Contact Me