Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Abstract: This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The ...

A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly fortunetelling, but forecasting is a huge industry and service that much of our ...

In the process of upgrading from .net 9 to .net 10 I have seen one of my tests fail. It utilizes the IBinaryInteger<T> interface with known values of One and Zero to generate a polynomial string for a ...

The pace of AMC Networks' revenue decline from linear television accelerated in the third quarter, easily overwhelming the acceleration in streaming subscription revenue, which grew 15% year over year ...

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks you through calculating the slope and intercept, predicting new values, and ...

Strike up a candid conversation with an NFL executive or coach about the Washington Commanders, and good luck counting to 30 before hearing the words “regression” and/or “Houston Texans.” The ...

This C library provides efficient implementations of linear regression algorithms, including support for stochastic gradient descent (SGD) and data normalization techniques. It is designed for easy ...

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