News

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Scientific Research Publishing

Machine Learning for Financial Risk Management: Modeling Time-Varying Factor Sensitivities Using Factor Variational Autoencoders ()

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Academician Zhang Tongyi's Chinese Version of 'Introduction to Materials Informatics: Basics of Machine Learning' Published

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...
Analytics Insight

Top Regression Techniques Every Data Scientist Should Learn

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...
Devdiscourse

AI outperforms traditional models in bankruptcy forecasting

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...
Devdiscourse

When Poverty Maps Fail: Machine Learning Overpredicts Rural Welfare, Study Warns

The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...
Frontiers

Survival prediction modelling in patients with acute ST-segment elevation myocardial infarction with LASSO regression and explainable machine learning

Background: Acute ST-segment elevation myocardial infarction (STEMI) is a cardiovascular emergency that is associated with a high risk of death. In this study, we developed explainable machine ...
IEEE

Harnessing Machine Learning with Advanced Linear Regression Models to Forecast PV System

Abstract: This study investigates how environmental factors impact photovoltaic systems’ outputs, through a one-year data collection. Nineteen machine learning linear regression models were employed ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...