International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
The Straits Times

Learning by talking: Instead of fishing for answers, students explain concepts to bot

SINGAPORE – At the height of the Covid-19 pandemic, social distancing rules meant that Ms Akshaya Rajesh could not hold study sessions with her friends. She ended up explaining what she learnt out ...
IEEE

Magneto Inductive (MI) Channel Variables Prediction Through Machine Learning Linear Regression Method, for Underwater and Underground WSNs

Abstract: In today’s digital era, where information flows seamlessly and is readily available and accessible. However, these information and communication systems are highly dependent on the ...
IEEE

The Role of Linear Algebra in Developing Machine Learning Solutions

Abstract: The branch of mathematics known as “linear algebra” deals with vectors, matrices, and linear transformations. It is useful in a variety of disciplines, including computer science, physics, ...