The Data Science Lab Neural Network Quantile Regression Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The ...

Patricia M. West, Patrick L. Brockett, Linda L. Golden, A Comparative Analysis of Neural Networks and Statistical Methods for Predicting Consumer Choice, Marketing Science, Vol. 16, No. 4 (1997), pp.

VisualStudioMagazine: What inspired you do present a session on introducing neural networks using C#? McCaffrey: In addition to being practical and powerful prediction techniques, neural networks form ...

They have managed to build a neural network, use it to solve a tricky problem, and then capture its insights in a relatively simple five-part equation that human scientists can use and understand.

In this model, neural networks were shown to form long-term memories and use recent past information to predict future stimuli.

Neural networks with several process layers are known as "deep" networks and are used for deep learning algorithms The success of neural networks for stock market price prediction varies.

Neural networks uncovered through a longitudinal study could help predict underage drinking risk in teenagers.

Metal additive manufacturing (AM) experiments are slow and expensive. Engineers are using physics-informed neural networks to predict the outcomes of complex processes involved in AM. The team ...