Statistical inference

From Casino Games to Medical Trials: The Real-World Applications of the Central Limit Theorem

Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, and presentation of data. The Central Limit Theorem (CLT) is a fundamental concept in statistics that underpins many statistical methods and analyses. It is a powerful tool for analyzing large datasets and predicting outcomes based on limited information. The CLT states that …

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Using Optimal Subsampling and Bootstrap in Machine Learning: Improving Model Accuracy

Introduction Machine learning algorithms have become increasingly popular in recent years as businesses and organizations look for ways to extract value from their data. However, getting accurate predictions from machine learning models is not always easy. One of the biggest challenges is reducing overfitting and bias in the models, which can lead to inaccurate predictions. …

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Optimizing the Accuracy of Time Series Predictions: An Introduction to the Forward-Backward Algorithm

Introduction In today’s fast-paced world, businesses, industries, and organizations rely heavily on data-driven decision making. The ability to predict future trends and patterns in data can be incredibly valuable for forecasting and planning. One of the most important areas of data analysis is time series analysis, which involves studying and understanding sequential data over time. …

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