The R programming language and its innumerable packages are great for data transformation, exploration and presentation. But, as an interpreted language, R is impractically slow when it comes to complex computation on very large data sets.For building predictive models from Big Data, R programs must interface with server-based software designed for scalable computation.Regardless of the methods used, the machine learning server software must be engineered to handle large data volumes in very complex ways, rapidly performing many, many calculations involving millions of data points.
Production-grade R-based predictive modeling for digital marketing, fraud detection, risk profiling, quality assurance, and other important business functions across many industries is possible with the right machine learning server. It has to be fast, accurate, and reliable.
Yottamine is a unique cloud-based machine learning server that R programmers can use for Big Data predictive modeling that is faster and more scalable than with any other software.
Using Yottamine with R is easy. See a video demo here.
Trying Yottamine with R is free. Get the details here.
