Dr. James McCaffrey of Microsoft Research explains how to programmatically split a file of data into a training file and a test file, for use in a machine learning neural network for scenarios like ...

Administrators of successful laboratory animal care programs realized long ago the importance of quality training and began striving to improve their training programs. An effective training program ...

Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. The previous article discussed how scalable distributed parallel computing using a ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems. Many machine learning problems fall into one of three ...

Google Cloud Platform (GCP) has gone live with its Parallelstore managed parallel file storage service, which is aimed at intensive input/output (I/O) for artificial intelligence (AI) applications and ...