Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

In this article, we develop piecewise linear surrogates using Machine Learning (ML) models and the Optimization and Machine Learning Toolkit (OMLT) to show how process families can be designed to ...

A machine learning-based UPI fraud detection system that analyzes transaction patterns to identify and flag suspicious activity. The project includes data preprocessing, model training, and a ...

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality ...

Abstract: Recently, the machine unlearning has emerged as a popular method ... In this article, we propose the first unlearning attack dubbed unlearning attack for regression learning (UnAR) to ...