In this post, I show you a brief introduction for the anomaly detection with MicrosoftML.
This shows how you can analyze your text (text featurization) using MicrosoftML package in R with the simple sentiment analytics example.
This post describes how to access Azure resource with certificate (without interactive login UI). When you create the backend service (like daemon) communicating with Azure resources, this flow can be used.
Here we focus on the MXNet training acceleration: GPU (device) utilized training, distribution training by multiple machines, and active learning (online learning).
Here I show you the step-by-step for scaling the deep learning workloads with MXNet and R. This time, we focus on the scoring phase.
In this post, I describe what is the benefits of Microsoft R technologies (Microsoft R Open, R Server, R Client) for the professional developers with a few lines of code.
In this post, I show you a sample of R-based graph using Power BI for beginner’s understanding. Non-scientists, the business users can easily create the rich graph like correlation, clustering, forecasting, etc, and share for other users.