Dear All,
Looking for guidance. I am Interested in contributing to the Spark MLlib. Could you please take a few minutes to guide me as to what you would consider an ideal path / skill an individual should posses. I know R / Python / Java / C and C++ I have a firm understanding of algorithms and Machine learning. I do know spark at a "workable knowledge level". Where should I start and what should I try to do first ( spark internal level ) and then pick up items on JIRA OR new specifications on Spark. R has a great set of packages - would it be difficult to migrate them to Spark R set. I could try it with your support or if it's desired. I wouldn't mind doing testing of some defects etc as an initial learning curve if that would assist the community. Please, guide. Regards, Harmeet --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
