Nature

Machine Learning Techniques for Streamflow Forecasting articles from across Nature Portfolio

A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for ...

Reading Diary #1642: 'Mathematics of Deep Learning via the Shortest Course, Expanded and Revised Edition'

Reading Notes The principle behind the learning process of machine learning and deep learning is to find parameters that ...

Learning Log: Learning AI While Building AI with AI #1 | First, Implementing the Basics of Machine Learning, 'Linear Regression', in Python

While generative AI like ChatGPT has become a part of our daily lives, perhaps surprisingly few people truly understand the ...
BIOENGINEER

Simple Machine Learning Beats Deep Learning in Real Rural Energy Communities

In a small valley in Asturias, northern Spain, a cluster of rural houses and a technology center have become the testing ...
Phys.org

Machine learning models teach each other to identify molecular properties

Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to ...