I am starting off with classification models, Logistic,RandomForest. Basically wanted to learn Machine learning. Since I have a java background I started off with MLib, but later heard R works as well ( with scaling issues - only).
So, with SparkR was wondering the scaling issue would be resolved - hence my question why not go with R and Spark R alone.( keeping aside my inclination towards java) On Thu, Aug 6, 2015 at 12:28 AM, Charles Earl <charles.ce...@gmail.com> wrote: > What machine learning algorithms are you interested in exploring or using? > Start from there or better yet the problem you are trying to solve, and > then the selection may be evident. > > > On Wednesday, August 5, 2015, praveen S <mylogi...@gmail.com> wrote: > >> I was wondering when one should go for MLib or SparkR. What is the >> criteria or what should be considered before choosing either of the >> solutions for data analysis? >> or What is the advantages of Spark MLib over Spark R or advantages of >> SparkR over MLib? >> > > > -- > - Charles >
