Abstract: Bayesian Optimization (BO) is an efficient method for finding optimal cloud configurations for several types of applications. On the other hand, Machine Learning (ML) can provide helpful ...

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...

Abstract: Flux-switching electrically excited (FSEE) machines offer appealing advantages, including low cost, no risk of demagnetization, and good flux regulation capability. Nonetheless, they ...

[!INCLUDE v2] Get started with GitHub Actions to train a model on Azure Machine Learning. This article teaches you how to create a GitHub Actions workflow that builds and deploys a machine learning ...

In this article, you learn how to schedule machine learning pipelines to run on Azure. You can schedule routine tasks like retraining models or regularly updating batch predictions based on elapsed ...