mccormick.northwestern.edu

IEMS 351: Optimization Methods in Data Science

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

AI-Driven Marketing Mix Modeling for Enterprise Resource Optimization

Yanran Li's AI-driven Marketing Mix Modeling (MMM) framework revolutionizes enterprise resource allocation by integrating ...
Scientific Research Publishing

Dimensionality Reduction Evaluation for Multivariate Quantum Data ()

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
BioProcess International

Meeting the Challenge of Interoperability for Improved Process Performance in Biomanufacturing

NIIMBL’s 2025 National Meeting emphasized the need for system interoperability through standardization of means for data ...
Mass Transit

From lab to street: Why multimodal is the key to affordable demand response

The solution isn't to abandon microtransit, but to evolve its role from a standalone service to a high-frequency feeder for ...
College of Computing - Georgia Tech

Vision AI Models Improve Decision Making in Manufacturing, Energy, and Finance

Georgia Tech researchers have created a new AI model for decision-focused learning (DFL), called Diffusion-DFL. Recent tests ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...