Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3)
objects around us can be slightly radioactive. Americium in smoke detectors, radium in some vintage watches, or uranium in vintage ...
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LLMs and Mental Health | Towards Data Science
who are paying close attention to the media coverage of AI, particularly LLMs, will probably have heard about a few ...
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“I think of analysts as data wizards who help their product teams solve problems”
In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science ...
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How Computers “See” Molecules | Towards Data Science
a computer, Edvard Munch’s The Scream is nothing more than a grid of pixel values. It has no sense of why swirling ...
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Mastering NLP with spaCy – Part 2
in a sentence provide a lot of information, such as what they mean in the real world, how they connect ...
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FastSAM for Image Segmentation Tasks — Explained Simply
segmentation is a popular task in computer vision, with the goal of partitioning an input image into multiple regions, where ...
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The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix
phrase “just retrain the model” is deceptively simple. It has become a go-to solution in machine learning operations whenever the ...
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How Do Grayscale Images Affect Visual Anomaly Detection?
Introduction: Why grayscale images might affect anomaly detection. Anomaly detection, grayscale images: Quick recap on the two main subjects discussed ...
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How To Significantly Enhance LLMs by Leveraging Context Engineering
is the science of providing LLMs with the correct context to maximize performance. When you work with LLMs, you typically ...
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Advanced Topic Modeling with LLMs
This article is a continuation of topic modeling open-source intelligence (OSINT) from the OpenAlex API. In a previous article, I ...
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