Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
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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, ...
This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...
Looking ahead, leveraging China Mobile’s AaaS (Ability as a Service) digital capability platform, the project team plans to build a unified, shareable capability framework and replicate China Mobile ...
A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.
Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...
Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...
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 ...
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