ET CIO

Legacy Language Migration in the AI Era: Expert Insights on How CIOs Can Reduce Technical Debt and Accelerate Code Modernisation with AI

Discover how CIOs can leverage AI to modernize legacy programming languages, reduce technical debt, and enhance operational ...
Business Daily Africa

Credit scoring: When algorithms meet the farm gate

Traditional lending relies on collateral and a financial history that productive smallholder farmers may find difficult to ...
IEEE

Federated Function-on-function Regression with an Efficient Gradient Boosting Algorithm for Privacy-Preserving Telemedicine

Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
Hosted on MSN

Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
IEEE

Soft Gradient Boosting with Learnable Feature Transforms for Sequential Regression

Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...
Ars Technica

Python plan to boost software security foiled by Trump admin’s anti-DEI rules

The Python Software Foundation has rejected a $1.5 million government grant because of anti-DEI requirements imposed by the Trump administration, the nonprofit said in a blog post yesterday. The grant ...
C&EN

Predicting the Properties of IL-Solvent Electrolytes Using a Hybrid Support Vector Classification and Gradient Boosting Regression (SVC-GBR) Framework

Henry Krumb School of Mines, Earth and Environmental Engineering Department, Columbia University, New York, New York 10027, United States ...