Here we see some overfitting case with a lot of visual examples, and explain what you should care about and how to avoid. First we see with traditional statistical regression, and in the latter part we discuss about neural nets.
Here I outline the basic regression ideas of GLM (generalized linear models) for your intuitions with simple R scripts. (For beginners)
In this post I describe the background and how-to for time-series analysis with more practical and advanced topics, non-stationary time-series (ARIMA) and seasonal time-series (Seasonal ARIMA), which is based on the basic idea (knowledge) in my previous post.
Through these posts (part1 and part2), you can shortly understand the outline for ARIMA time-series analysis.
The time-series analysis in statistical learning is frequently needed in the practical system. Here I outline the time-series analysis with ARIMA model for developers building your intuitions.
In this post I show you a walkthrough of new Power BI embed flow for ISV. This new consistent model unlocks Power BI for ISV, and all Power BI capabilities can be supported.
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 shows the R code of classifying images or matching (searching) similar images with MicrosoftML package. You can easily classify your real photo albums without labeling.
In this post, I describe the peer to peer instant messaging with new Trusted Application API (the server-side api of “Skype for Business Online”), and explain how to handle the incoming webhook callback.