Dr. James McCaffrey of Microsoft Research explains how to evaluate, save and use a trained regression model, used to predict a single numeric value such as the annual revenue of a new restaurant based ...
Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...
In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...
One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...
A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...
Children efficiently develop their visual systems through learning from their environment. How this development unfolds in noisy real-world data streams remains largely unknown. Deep neural networks ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More So-called neurosymbolic models, which combine algorithms with symbolic ...