A pure Julia ML ecosystem is something that is actively being worked
on/towards. Naturally large problem sizes are one big reason that people
are interested in working on this. It just takes time to flesh it out to
something that people are used to from languages like python or R. As I
see it, Julia is different and offers unique opportunities for
connecting research, education, and application. It is an interesting
journey to figure out how to get the most out of what the language has
to offer.
On 2015-11-14 23:20, Andrei wrote:
All of these makes me think that similar framework for big data
analytics written in pure Julia could bypass many of these issues and
generate more interest in Julia community. I wonder if somebody would
want to take part in such a challenge.