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A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

Harper College has launched the Artificial Intelligence and Cloud Computing degree program to put students at the leading ...

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of science, technology, and medicine news ...

Scientists are beginning to show that learning is not exclusive to neurons and synapses. At the scale of billionths of a ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

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 ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Abstract: The multicollinearity problem is a common phenomenon in data-driven studies, significantly affecting the performance of machine learning algorithms during the process of extracting ...

This repository contains hands-on learning materials for the Statistical Machine Learning course (AT25-41253) in the Actuarial Science program at Institut Teknologi Sumatera. The materials are ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...