Estimating from No Data: Deriving a Continuous Score from Categories
[ad_1] has collected data on the outcomes of patients who have acquired “Pathogen A” responsible for an infectious respiratory illness. ...
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Demystifying Cosine Similarity | Towards Data Science
[ad_1] is a commonly used metric for operationalizing tasks such as semantic search and document comparison in the field of ...
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How to Write Insightful Technical Articles
[ad_1] , I discuss how you can write technical articles. I have been writing such articles for around 2.5 years, ...
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How to Design Machine Learning Experiments — the Right Way
[ad_1] Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep ...
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Time Series Forecasting Made Simple (Part 3.2): A Deep Dive into LOESS-Based Smoothing
[ad_1] In Part 3.1 we started discussing how decomposes the time series data into trend, seasonality, and residual components, and ...
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Finding Golden Examples: A Smarter Approach to In-Context Learning
[ad_1] Context using Large Language Models (LLMs), In-Context Learning (ICL), where input and output are provided to LLMs to learn ...
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Context Engineering — A Comprehensive Hands-On Tutorial with DSPy
[ad_1] Context Engineering by now. This article will cover the key ideas behind creating LLM applications using Context Engineering principles, ...
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Nuclear Experts Say Mixing AI and Nuclear Weapons Is Inevitable
[ad_1] The people who study nuclear war for a living are certain that artificial intelligence will soon power the deadly ...
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Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 3)
[ad_1] objects around us can be slightly radioactive. Americium in smoke detectors, radium in some vintage watches, or uranium in ...
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LLMs and Mental Health | Towards Data Science
[ad_1] who are paying close attention to the media coverage of AI, particularly LLMs, will probably have heard about a ...
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