This project builds upon previous work, such as the California Housing Price Prediction - Linear Regression project, by taking a deeper dive into model optimization and hyperparameter experimentation.

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: Distributed gradient descent algorithms have come to the fore ... while at the same time amortizing the effect of the corruption over time. Experiments based on linear regression, support ...

Abstract: Estimation of univariate regression function by a neural network with one hidden layer is considered, where the weight vector is determined by applying gradient descent to a regularized ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods ...

Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.

The Tampa Bay Buccaneers are once again predicted to take a step back after another offensive coordinator change.