Thanks Krishna for your interest in SystemML. You can contribute to SystemML in various ways: - Providing fix or new feature. Fix/Feature could be identified by you or anybody else. - Writing new algorithm. - Writing/updating documentation - Validating release candidate builds - Evaluating SystemML and providing feedback - Providing feedback on docs, usage, functionality - Educating community about SystemML I would suggest you to start with SystemML website: Community Start using SystemML by leveraging existing documentation. Once familiar with SystemML, look at the RoadMap, existing Jira items. Then you can either request to work on existing Jiras or propose any new change you may think. Hope this help. -Arvind
| | | | | | | | | | | Community Apache SystemML provides an optimal workplace for Machine Learning using big data | | | | From: Krishna Kalyan <krishnakaly...@gmail.com> To: dev@systemml.incubator.apache.org Sent: Thursday, January 5, 2017 3:15 PM Subject: GSoc 2017 Hello Developers, I am Krishna, currently a 2nd year Masters student in (MSc. in Data Mining) currently in Barcelona studying at Université Polytechnique de Catalogne. I was interested in contributing to SystemML this year under GSoc program. Could anyone please guide on how to go about it?. (I understand the I need to write a proposal) Related Experience: My masters is mostly focussed on data mining techniques. Before my masters, I was a data engineer with IBM (India). I was responsible for managing 50 node Hadoop Cluster for more than a year. Most of my time was spent optimising and writing ETL (Apache Pig) jobs. I am the most comfortable with Python followed by R and Scala. My Webpage kkalyan.in My Spark Pull Requests https://github.com/apache/spark/pulls?utf8=%E2%9C%93&q=is%3Apr%20author%3Akrishnakalyan3%20 Thank you so much, Krishna