The target audience of this workshop are students, researchers, developers, hobbyists and anyone interested in knowing more about Natural Language Processing and Text Analytics. Some very basic ...

Before analyzing a dataset, the first step is acquiring the data. While platforms like Kaggle and data.gov provide a wealth of datasets, one of the most popular platforms for local government data is ...

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

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.