Filed under machine-learning
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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.
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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.
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What is Bias and Variance Tradeoff
You don't want the model to over- or under-fit. You have to strive to find the right balance between the two. That is the bias-variance tradeoff.
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.