Deploying Predictive Models

Over the last decade, we have seen tremendous interest in the application of data mining and statistical algorithms, first in research and science and, more recently across various industries, that has led to the development of myriad solutions by the data science community. Most of the times data science algorithms are built standalone on platforms like R or python etc. In order to build a data-driven product or use these algorithms for real-time predictions it's essential these algorithms get integrated or ported over to the application stack. Let's say your data Science team has built an amazingly accurate model in R using some package which has a built-in algorithm and we are ready to put it to work. However application servers run on Java, and this particular package is not available in Java.