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 ...

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

support vector machine and linear regression. One study compared the classification prediction between machine learning algorithms and humans, including experienced psychiatrists, and found that ...

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 ...

Through machine learning from AI, massive datasets relating to the stock market are assessed in algorithmic trading to detect real-time trade patterns and execute trades. Additionally, AI deals ...