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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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What a Used Car Prediction Can Teach You About Machine Learning
Machine Learning
Machine learning, a form or artificial intelligence, has been used for many years to help with prediction by analysing historical data, recognize patterns, and forecast future outcomes.
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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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Creating Tables for Descriptive Analysis
EDA
When conduction EDA, multiple steps are required. When using python, other tools can be used to facilitate visualizations and other commands.
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Creating Relevant Synthetic Data
One of the greatest obstacles maintaining a blog about data is the data itself. Simply sharing information as a blog entry can come across as boring. Or even irrelevant.
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The Future of Biological Data Analysis
A deep-learning framework reveals whole-body perturbations at cell level, 2026
Machine Learning (ML) is often associated with predictions. And that is the case most of the time. However, its use expand beyond predictions. A new paper published in Nature caught my attention.
About
I am a veteran. I spent years in intelligence analysis, where being confidently wrong carried a cost, and that is where I learned to separate what evidence shows from what it suggests. I have a master's in journalism and communications, and I am finishing a doctorate in data science on how findings get communicated. I work in English and Portuguese.