+1Can you send out a quick agenda (hopefully with my input incorporated) before
the hangout?Regards
> Date: Sun, 6 Oct 2013 03:58:10 -0700
> From: [email protected]
> Subject: Re: Mahout's future
> To: [email protected]
>
> Grant would be available the week of Oct 14 for a hangout (tentatively).
> We could go ahead and schedule one next week if there's (and seems very much
> like it) enough response. I can go ahead and facilitate one.
>
> I will be 100% focused on Mahout from next week once I start at my new job
> from Monday.
>
> Regarding building something for Deep Learning, Yexi's patch for MLP (see
> M-1265) may be a good place to refactor/start thinking about the foundations.
> I guess Ted is alluring to build something like what's been described in the
> Google paper (see
> http://www.cs.toronto.edu/~ranzato/publications/DistBeliefNIPS2012_withAppendix.pdf).
> Correct?
>
>
> Suneel
>
>
>
>
> ________________________________
> From: Ted Dunning <[email protected]>
> To: "[email protected]" <[email protected]>
> Cc: "[email protected]" <[email protected]>
> Sent: Sunday, October 6, 2013 2:10 AM
> Subject: Re: Mahout's future
>
>
> Saikat
>
> These are all good suggestions. I would have a hard time suggesting a
> prioritization of them.
>
> Does anybody remember what grant said about having another hangout?
>
> Sent from my iPhone
>
> On Oct 6, 2013, at 7:15, Saikat Kanjilal <[email protected]> wrote:
>
> > I wanted to mention a few other things:1)It might be useful to take and
> > embed a few already productionalized use cases into the integration tests
> > in mahout, this will help additional users get on board faster2) Deep
> > learning is really interesting, however I'd like to help research some
> > common use cases first before tying this into mahout3) It'd be good to put
> > some thought into documenting when you would choose what type of algorithm
> > given a production machine learning recommendation system to build, this
> > would give more visibility for users into choosing the right mixture of
> > algorithms to build a production ready recommender, often what I've found
> > is that a bulk of the time in building productionalized recommenders is
> > spent cleaning and filtering noisy data4) I'd like to also explore how to
> > tie in machine learning algorithms into real time systems built using
> > twitter storm (http://storm-project.net/), it seems that industry more and
> > more is wanting
> to do real time analytics on the fly, I'm curious what type of algorithms
> we'd need for this and back propagate these into mahout
> >
> > It'd be good to meet like minded devs together locally (Seattle) or over
> > gtalk/conference to talk through possibilities.
> > Regards
> >> From: [email protected]
> >> Date: Sat, 5 Oct 2013 18:13:40 -0700
> >> Subject: Re: Mahout's future
> >> To: [email protected]
> >>
> >> On Sat, Oct 5, 2013 at 5:08 PM, Saikat Kanjilal <[email protected]>
> >> wrote:
> >>
> >>> Does it make sense to have a quick meeting of interested developers over
> >>> google chat/conference rather than email to discuss and assign folks to
> >>> specifics?
> >>>
> >>> Thoughts?
> >>
> >> Great idea.
> >>
> >> I think that Grant may have been organizing a hangout.
> >
