Opinion
Learn With Jay on MSNOpinion

Overfitting vs underfitting: Understand bias and variance

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...
techxplore

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
IEEE

OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection

Abstract: We introduce the Overfitting-Underfitting Indicator (OUI), a novel tool for monitoring the training dynamics of Deep Neural Networks (DNNs) and identifying optimal regularization ...
Frontiers

Artificial intelligence in clinical decision support and the prediction of adverse events

1 Biomedical Diagnostics Lab, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands 2 Anesthesiology, Catharina Hospital, Eindhoven, Netherlands This review ...
InfoWorld

10 machine learning mistakes and how to avoid them

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...
Frontiers

A priori physical information to aid generalization capabilities of neural networks for hydraulic modeling

Department of Civil, Computer Science, and Aeronautical Technologies Engineering, Roma Tre University, Rome, Italy The application of Neural Networks to river hydraulics and flood mapping is fledgling ...