diff --git a/samples/features/r-services/Loan Classification/README.md b/samples/features/r-services/Loan Classification/README.md new file mode 100644 index 00000000..c9273b1e --- /dev/null +++ b/samples/features/r-services/Loan Classification/README.md @@ -0,0 +1,2 @@ +## Loan Classification using SQL Server 2016 +Joseph Sirosh, Data Group Corporate Vice President, had shown during his keynote session how customers are able to achieve a scale up of 1 million predictions/sec using SQL Server 2016 R Services. This sample contains all the scripts required to emulate a similar setup using Lending Club data with SQL Server 2016.