Articles by Andrea Rekasi

How Linear Regression Improves Clonogenic Survival Curve Accuracy

January 22, 2025 | Andrea Rekasi

Linear regression plays a vital role in analysing clonogenic survival curves, with accuracy rates of 95.46% to 99.32% in cell survival data modelling. Scientists can now review how cells maintain their reproductive integrity after radiation exposure through these precise measurements. Researchers rely on clonogenic survival assay as a key tool that shows ...
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Understanding Why Sklearn PCA Differs from Scratch Implementations

December 2, 2024 | Andrea Rekasi

Data scientists often face a puzzling challenge. Their carefully crafted Principal Component Analysis (PCA) implementation gives different results compared to scikit-learn’s version. These differences create confusion and make debugging harder, even when both implementations appear mathematically sound. PCA is a significant dimensionality reduction technique in machine learning that helps ...
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7 Intriguing Insights into Death by AI Prompts: A How-to Guide

November 15, 2024 | Andrea Rekasi

Gaming’s death scenarios have developed well beyond the simple “Game Over” screen we saw in earlier times. “Death by AI prompts” has transformed how players experience virtual mortality. This new approach creates sophisticated and customized end-game scenarios by combining artificial intelligence with creative storytelling. Players now see unique death ...
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Neural Attention vs Human Attention for Code Generation: A 2024 Perspective

November 14, 2024 | Andrea Rekasi

AI-powered code generation raises an intriguing question about the differences between artificial neural attention and human thought processes in writing code. Developers take years to become skilled at programming through hands-on experience and intuition. Neural models, however, tackle code generation through mathematical attention mechanisms and pattern recognition. The comparison between ...
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