Hello,

I have been an user of Mahout for quite sometime now and got really exited
when I heard mahout is moving to Spark. Today I played around with Linear
Regression example and browsed some of the spark Machine Learning(ML) code.
It was really interesting to see how intuitive the entire process is.

I have background in data science model building and I would like to
contribute in the development process. So, I would like to get some advice
on what has already been completed on ML side and from where I can start?

I have couple of ideas like I can start with either some classification
algorithm like SVM or build(enhance) some simple building blocks. You can
throw in your suggestions and I'll be see which one falls into my domain,
and try to work on them.

thanks & best regards,

Ankit Sharma
Data Science Professional
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