Articles by Andrea Rekasi

Step-by-Step Guide: Calculating QuPath Distances Between Annotations

October 29, 2024 | Andrea Rekasi

QuPath’s accurate distance measurements between annotations serve a vital part in quantitative image analysis and research outcomes. Researchers and scientists depend on exact spatial measurements to understand cellular relationships, tissue architecture, and biological patterns in their image data. QuPath Distances Between Annotations for Image Analysis gives researchers robust tools ...
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How to Interpret High P-Value and Low Chi-Squared in Stata

October 20, 2024 | Andrea Rekasi

Statistical analysis plays a crucial role in research and decision-making. When using Stata, a powerful statistical software, researchers often encounter situations with high p-values and low chi-squared values. Understanding how to interpret these results is essential for drawing accurate conclusions from data. This article delves into the interpretation of high ...
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Step-by-Step Guide to Using the Concordance Correlation Coefficient

October 11, 2024 | Andrea Rekasi

In the realm of statistical analysis, the concordance correlation coefficient (CCC) stands out as a powerful tool for assessing agreement between different measurement methods or observers. This statistical measure has gained prominence in various fields, including psychology, medicine, and environmental science, due to its ability to evaluate both precision and ...
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LLM Product Development: Unlocking New Possibilities in 2024

October 11, 2024 | Andrea Rekasi

In the rapidly evolving landscape of product development, Large Language Models (LLMs) are causing a revolution in how companies approach innovation and customer satisfaction. LLM product development has emerged as a game-changing strategy, combining the power of generative AI with traditional product creation processes. This fusion has an impact on ...
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UnSupervised Learning, Clustering and K-Means

August 20, 2024 | Andrea Rekasi

1. Introduction 2. Problem 3. Scenario 4. Notations Used and Coding Guidelines 4.1. Notations Used 4.2. Coding Guidelines 5. Solutions 5.1 Design 5.1.1 Algorithms Steps 5.1.2 Algorithms Steps Visuals 5.1.3 Algorithms Flow Chart 5.1.4 Strategy Design Patterns 5.2 The Algorithms 5.2.1 Algorithms from Scratch 5.2.2 Algorithms from sklearn.cluster package 5.2.3 Complexity of the Algorithms 6.… Read More »UnSupervised Learning, Clustering and K-Means
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