Great job Niketan , I had been searching for such document off late. Regards, Abhishek Srivastava Fellowship Scholar , IIM Ranchi Skype : abhi.sri3
On Fri, Apr 8, 2016 at 6:34 AM, Niketan Pansare <[email protected]> wrote: > > > Hi all, > > Here is a suggestion for reducing the barrier to entry for SystemML: "Have > a detailed quickstart guide/video using Notebook on free (or trial-based) > hosting solution like IBM Bluemix or Data Scientist Workbench". > > I have create a sample tutorial: > https://github.com/niketanpansare/systemml_tutorial > > Missing items in above tutorial: > 1. Create a separate section for Notebook rather than have it hidden under > MLContext Programming guide ( > > http://apache.github.io/incubator-systemml/spark-mlcontext-programming-guide.html > ). > 2. Add Python Notebooks (This requires attaching both jars and python > MLContext to Zeppelin or Jupyter context). > 3. Allow users to use jars from our nightly build (see my jupyter example) > as well as released version (see my zeppelin example). > 4. Tutorials for all our algorithms using real world dataset. Example: > > https://www.ibm.com/support/knowledgecenter/SSPT3X_2.1.2/com.ibm.swg.im.infosphere.biginsights.tut.doc/doc/tut_Mod_BigR.html > . > 5. DML Kernel for Zeppelin (see > https://issues.apache.org/jira/browse/SYSTEMML-542). > 6. Other hosting services such as AzureML. > 7. Tutorial that shows SystemML's integration with MLPipeline. > > These missing items can be broken down into relatively small tasks with > detailed specification that external contributors can work on. Any > thoughts ? > > Thanks, > > Niketan Pansare > IBM Almaden Research Center > E-mail: npansar At us.ibm.com > http://researcher.watson.ibm.com/researcher/view.php?person=us-npansar >
