Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...
Aalto University

Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems

Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
GitHub

Unscented Kalman filter stochastic nonlinear model predictive control

First install the required technical prerequisites and download the Python files contained in this repository. Next run Simulation_UKF_SNMPC, which should run the pre ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
IEEE

Estimation and Forecasting of Nigeria’s Residential, Commercial, and Industrial Electricity Demands

Abstract: Energy demand forecasting has emerged as a crucial area of research, driven by the need for accurate predictions of future electricity consumption. This is critically essential for the ...
C&EN

AI-Driven Simulation of Stochastic Electrochemiluminescence

Electrochemiluminescence (ECL) is a vital analytical technique widely used in immunosensing and emerging applications in biological imaging. Traditional ECL simulations rely on finite element methods, ...