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From "Alexander Bezzubov (JIRA)" <>
Subject [jira] [Commented] (COMDEV-118) Zeppelin GSoC Project: create a ML\Deeplearning tutorial notebook
Date Wed, 11 Mar 2015 02:48:38 GMT


Alexander Bezzubov commented on COMDEV-118:

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

A good first step would be subscribing to and posting initial
proposal draft or questions you have there for the discussion.
Some details on this project scope have already been posted here

> Zeppelin GSoC Project: create a ML\Deeplearning tutorial notebook
> -----------------------------------------------------------------
>                 Key: COMDEV-118
>                 URL:
>             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
> Stunents are welcome to reach out Zeppelin community via its developers mailing list
to discuss the details, see

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