Machine learning models are deployed to solve specific problems or provide value in various applications, such as healthcare, finance, recommendation systems, and autonomous vehicles. In these scenarios, model performance directly impacts real-world outcomes.
With IBM Netezza, there are many ways to pull data from a backup, but a relatively new feature has been included which allows the use also an AWS stack.
In this article we will first draw a direct line between Power BI’s feature set, and their Excel origins, as a way of explaining where your Excel-to-Power BI use cases begin.