Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

The Proteus Actuarial Library (PAL) is a fast, lightweight framework for building simulation-based actuarial and financial models. It handles complex statistical dependencies using copulas while ...

Learn how to visualize a magnetic field model using Python! 🧲💻 In this tutorial, we’ll walk through creating a 2D vector field to represent the magnetic forces around a dipole. Perfect for physics ...

Abstract: Although various approaches have been reported for forecasting aviation safety risks, they frequently fail to fully consider the stochastic nature and complex interrelations of numerous real ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Michigan couple charged with making millions off hiring illegal immigrants Valerie ...

Quantifying stratigraphic uncertainty is crucial for reliable risk assessment and informed decision-making in geotechnical and geological engineering. However, accurately modeling complex stratigraphy ...

This paper presents a novel approach to modeling stochastic systems using Dynamic Probabilistic Automata (DPA), which integrates deterministic and stochastic elements within a unified framework.

Implementation of option pricing models using Numba that performs better. This entire project has utilized as little libraries as possible, even though certain models have their own Machine Learning ...

As financial advisors face increasing portfolio management complexities, model portfolios have emerged as a vital tool for scaling practices while enhancing client results. Research shows clients ...