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.
This post describes how to configure your SAML-based application with new Azure Portal, and some sample code with PHP (simpleSAMLphp) and Node.js (express, passport).
In this post, I summarize the value proposition of Azure DocumentDB and show you how it works for understanding.
In this post we use the Azure Application Insights by the custom code and see how it works behind the scenes for your understanding. (In most cases you don’t need to create the programming code by your own, and the SDK does all.)
The custom api enables you to connect your own web api (REST api) in Microsoft Flow (including SharePoint workflow) and PowerApps.
In this post I show you how to build and use the custom api with api authentication.
With Windows 10 version 1607 or later, you can use the Windows Information Protection (WIP, formerly “Enterprise Data Protection”) and the developers can also create the WIP-aware application. This post shows how to build this WIP-aware application.
With Skype, you can build calling (voice) bot using Microsoft Bot Framework. This post shows you the essence of this voice communication bot.
Now the client credential authentication using application permissions is supported in the Azure AD v2.0 endpoint. This post explains how it works for developers.