In this post I show you a walkthrough (tutorials and general tasks) of Graph database with Azure Cosmos DB Gremlin for your first use, and a little bit dive into the practical usage of the graph query.
In this post I show you how to build your web api protected by Azure AD v2 endpoint with custom scopes. You can learn several OAuth scenarios and ideas through this post.
When you run your R with data in Azure Data Lake, you don’t need to move or download your data. Here I show you how to use R extensions in Azure Data Lake along with the real scenarios.
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 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.)
This post describes about Linguistic Analysis API and Language Understanding Intelligent Service (LUIS) in Microsoft Cognitive Services for beginners. This post doesn’t explain the usage of APIs, but help you understand the clear point of each APIs.