资讯

InfoWorld9 年

Machine learning: Demystifying linear regression and feature selection

Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems can ...
Visual Studio Magazine10 天

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
Semiconductor Engineering2 年

Using Machine Learning To Automate Debug Of Simulation Regression Results

Regression failure debug is usually a manual process wherein verification engineers debug hundreds, if not thousands of failing tests. Machine learning (ML) technologies have enabled an automated ...
Devdiscourse6 小时

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 ...
ascopubs.org3 年

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer ...

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma We trained models using logistic regression (LR) and four commonly used ML ...
Security Boulevard7 天

AI in Automated Testing: How Machine Learning Reduces Flaky Tests and Maintenance Costs

Discover how AI and machine learning reduce flaky tests, cut maintenance costs, and improve accuracy in modern automated testing.