data science

What Is Data Literacy in 2025? It’s Not What You Think

you heard that the human attention span is shorter than that of a goldfish? In accordance with Microsoft’s 2015 study, the common human attention span decreased from 12 seconds in 2000 to eight seconds...

Confusion Matrix Made Easy: Accuracy, Precision, Recall & F1-Rating

we cope with classification algorithms in machine learning like Logistic Regression, K-Nearest Neighbors, Support Vector Classifiers, etc., we don’t use evaluation metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE) or Root...

The ONLY Data Science Roadmap You Have to Get a Job

you trying to grow to be an information scientist and don’t know where to begin? In this text, I would like to give you an easy, no-nonsense learning roadmap that you could follow to...

“I feel of analysts as data wizards who help their product teams solve problems”

You’ve written extensively about agentic AI and frameworks like smolagents and LangGraph. What excites you most about this emerging space? I first began exploring generative AI largely out of curiosity and, admittedly, a little bit...

How Computers “See” Molecules

a pc, Edvard Munch’s  is nothing greater than a grid of pixel values. It has no sense of why swirling lines in a twilight sky convey the agony of a scream. That’s because...

Mastering NLP with spaCy – Part 2

in a sentence provide numerous information, corresponding to what they mean in the true world, how they hook up with other words, how they alter the meaning of other words, and sometimes their...

When Models Stop Listening: How Feature Collapse Quietly Erodes Machine Learning Systems

A was implemented, studied, and proved. It was right in its predictions, and its metrics were consistent. The logs were clean. Nevertheless, with time, there was a growing variety of minor complaints: edge...

The Misconception of Retraining: Why Model Refresh Isn’t At all times the Fix

phrase “just retrain the model” is deceptively easy. It has develop into a go-to solution in machine learning operations each time the metrics are falling or the outcomes have gotten noisy. I actually...

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