Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Dependency injection can be thought of as a software engineering pattern as well as a framework. The goal is to describe and instantiate objects in a more composable, modular, and uniform way. The ...

Abstract: The security of sensitive data stored in web databases is a growing issue, despite the fact that online-based services are becoming an indispensable part of our daily lives. SQL injection ...