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Alexander Bezzubov edited comment on COMDEV-118 at 3/11/15 3:04 AM: -------------------------------------------------------------------- Hey [~Joshua Zhang], glad to see you interested! It's a good time now to start working on the proposal, so what is your ASF wiki username? We'd like to to keep all projects posted here https://cwiki.apache.org/confluence/display/ZEPPELIN/GoogleSummerOfCode A good first step would be subscribing to d...@zeppelin.incubator.apache.org and posting initial proposal draft or questions you have there for the discussion. Some details on this project scope have already been posted here http://markmail.org/thread/apbl65gd5ovw5qpt and here is an ASF guideline on makein a strong proposal http://community.apache.org/gsoc.html#applying-for-gsoc was (Author: bzz): Hey [~Joshua Zhang], glad to see you interested! It's a good time now to start working on the proposal, so what is your ASF wiki username? We'd like to to keep all projects posted here https://cwiki.apache.org/confluence/display/ZEPPELIN/GoogleSummerOfCode A good first step would be subscribing to d...@zeppelin.incubator.apache.org and posting initial proposal draft or questions you have there for the discussion. Some details on this project scope have already been posted here http://markmail.org/thread/apbl65gd5ovw5qpt > Zeppelin GSoC Project: create a ML\Deeplearning tutorial notebook > ----------------------------------------------------------------- > > Key: COMDEV-118 > URL: https://issues.apache.org/jira/browse/COMDEV-118 > Project: Community Development > Issue Type: Task > Reporter: Alexander Bezzubov > Labels: deeplearning, gsoc2015, machine_learning, scala, spark > > Zeppelin as generic notebook interpreter system for cluster computing is > capable of connecting different distributed systems. The main focus right now > is Apache Spark which itself have extensive machine learning facilities. > There are other systems such as H2O, PredictIO, Parameterserver or Singa > implementing advanced techniques based on neural networks, commonly referred > as Deeplearning. > The goal of this Google Summer of Code project is to develop a tutorial > Notebook with a sample data and extend Zeppelin server to be able to show > advantages of interactive machine learning. > Stunents are welcome to reach out Zeppelin community via its developers > mailing list to discuss the details, see > http://zeppelin.incubator.apache.org/community.html -- This message was sent by Atlassian JIRA (v6.3.4#6332)