Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML empowers teams to build, deploy, and manage machine learning models with ease and ...

Predictive analytics and machine learning are seen as the pair of tools to save the day for most organizations currently. We try to de-mystify both, taking a look at what they are, how they work ...

This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non ...

Through a comprehensive predictive model built entirely on the cloud, Amazon.com is using data to make better decisions, streamline operations, and deliver winning consumer experiences.

Kyungyeol Bae, Dohyun Kim, Predicting Enemy Threats in Ground Operations Using Interpretable Machine Learning, Military Operations Research, Vol. 29, No. 4 (2024), pp. 89-116 ...

Validated models and experimental data will then inform decision-making. Through predictive modelling and beyond, using machine learning and other forms of AI and data science, we will be able to push ...

Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.

In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot ...