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 ...
Introducing New Hyperscale NAS Category to Remove Storage Bottlenecks and Provide the High-Performance Data Pipeline Needed for GPU Computing [SPONSORED GUEST ARTICLE] Hammerspace, the company ...
In what is billed as the next stage of the Democratic National Committee’s (DNC) 50 State Strategy, national and state Democratic staffers are convening in Cleveland this week to train on the party’s ...
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 ...
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 ...
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 ...
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