After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is collapsing the gap between vision and execution.

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

Python has evolved from a basic programming language into a core technology supporting many of the world’s most critical digital systems. From school tools to payment apps and research software, ...

Quick user guide for python software to interact with the CMIP7 data request. Using the CMIP7 Data Request API you can load, filter, query, and export the Data Request programmatically in Python. This ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

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.