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Why Are AI Leaders Calling for a Slowdown?
For the better part of a decade, the world has watched the dawn of artificial intelligence reshape the technological landscape. Companies such as OpenAI, Anthropic, and Google have been at the forefront of this transformation, developing…
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What is Prediction Error?
No model hits the nail on the head all the time. It is just not possible. It can predict something with a certain level of confidence. It is better than perception. At any point, the predictions could be wrong. To determine the valid…
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The Importance of Exploratory Data Analysis
Most data science projects fail. And when I say most, I mean 90% of them. More concerning is that only 20% of analytics insights deliver business outcomes.
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Is AI Replacing Data Scientists?
AI has created a world where people with no knowledge have suddenly become a subject matter experts.
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Can a Human Being Live to 300 Years? A Machine Learning Exercise
The answer has been long sought by more than scientists and doctors. In fact, the first person who had the idea to record death was neither a scientist or medical doctor. It was a statistian: John Graunt
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Why is Central Tendency Important? Why Do We Use It?
Central tendency is one of the basic tools to help us understand essential information about the values of a dataset.
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Precision, Recall, and F1 Score Metrics. Which one Matters Most?
In the statistical world, in my simple mind, precision was the golden metric for gauging whether your model was performing as it was supposed to. That is partially correct. But precision alone will only give you a partial image of the model's performance. For a full picture, you will need to check other gauges — Recall and F1 Score.
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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.
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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
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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.
