Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

TIOBE Index for January 2026: Top 10 Most Popular Programming Languages Your email has been sent January’s TIOBE Index begins the year with familiar names still setting the pace, but the underlying ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Stochastic modelling is the development of mathematical models for non-deterministic physical systems, which can adopt many possible behaviours starting from any given initial condition. Monte-Carlo ...

Abstract: This paper proposed a novel stochastic programming which formulates the minimum energy cost routing for ad hoc wireless network. We presented the stochastic programming formulation to find ...

Abstract: Transportation Networks (TNs) play a critical role in economic and social systems, yet the dynamic nature and inherent heterogeneity of TN data pose challenges for Dynamic Knowledge ...

This project implements a Markov-Switching Stochastic Volatility (MS-SV) model to identify latent volatility regimes in equity returns using historical market data. The model captures regime-dependent ...

Python starts 2026 with a bang The world’s most popular programming language kicks off the new year with a wicked-fast type checker, a C code generator, and a second chance for the tail-calling ...

This project presents a comprehensive stochastic simulation study of a multi-product restaurant queueing system. Using discrete event simulation, we optimize restaurant operations by balancing ...