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

When I left the classroom 12 years ago, computer science was still treated like a niche pursuit, something for the few. Today, it’s the engine of change across every sector. In K–12 education, it is ...

No two college football teams are created the same way in the transfer portal and NIL era. Roster flexibility, resources, staff changes and financial stability are just a few factors that are baked ...

When making a Dungeons and Dragons character, few decisions are as important as the class. Furthermore, players must consider what level the campaign is reaching, as any given class is going to ...