Articles by Andrea Rekasi

How to Expand Icon React Native: A Step-by-Step Guide

November 8, 2024 | Andrea Rekasi

Mobile apps just need to use screen space well and keep users involved. Developers often struggle to show more information without making the interface messy. React Native’s expandable icon components offer a great solution. These components help apps present content in a clean way that lets users access extra ...
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How to Implement KNN with RBF Metric in Machine Learning

November 6, 2024 | Andrea Rekasi

K-Nearest Neighbours algorithm doesn’t deal very well with high-dimensional data and complex decision boundaries. Data points’ meaningful relationships often escape traditional distance metrics, which results in suboptimal classification. KNN with RBF metric solves these limitations by changing the feature space into a better format for similarity calculations. Our readers ...
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How to Annotate Patent Webpages for Enhanced Research and Analysis

November 4, 2024 | Andrea Rekasi

Patent research just needs careful attention to detail and systematic documentation. Researchers, patent attorneys, and IP professionals now find webpage annotations crucial to quickly extract, analyze, and share critical information. Knowing how to mark up, highlight, and comment on patent documents directly boosts research accuracy and makes the analysis process ...
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Repeating Annotations from IVC Form: Essential Tips and Tricks

October 31, 2024 | Andrea Rekasi

The IVC Form system’s management of course repeat annotations is vital for tracking student records and academic progress accurately. Students need to document their course repeats properly. This documentation helps reflect changes correctly in transcripts and GPA calculations. Students must use their NextGen login to access the electronic forms ...
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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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