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 with Power BI Premium or New Power BI Embedded in Azure. 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.