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

Supported Releases: These releases have been certified by Bloomberg’s Enterprise Products team for use by Bloomberg customers. Experimental Releases: These releases have not yet been certified for use ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

Tracie Lee, a lecturer in the College of Business and Economics, has significantly expanded educational resources for students by recording 21 new Excel tutorial videos for McGraw Hill. McGraw Hill ...

The teaching team at Kelvin Smith Library can support research skills development through instruction sessions, self-paced tutorials, and other learning activities. In addition to skills such as ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...

In recent years, developing realistic and robust simulations of human-like agents has been a complex and recurring problem in the field of artificial intelligence (AI) and computer science. A ...

For example usage, we encourage you to checkout the scripts in the examples folder and in the tests folder. The examples folder contains two scripts showing typical usage. The script simpleExample.py ...