Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Model-agnostic meta-learning schemes adopt gradient descent to learn task commonalities and obtain the initialization parameters of the meta-model to rapidly adjust to new tasks with only a few ...

Distributed stochastic gradient descent (SGD) has attracted considerable recent attention due to its potential for scaling computational resources, reducing training time, and helping protect user ...