Hi,
On Fri, Sep 16, 2016 at 11:36:03PM -0700, Andrew Musselman wrote:
> and we're thinking about just how many pre-built algorithms we
> should include in the library versus working on performance behind the
> scenes.
To pick this question up: I've been watching Mahout from a distance for quite
Hi,
I am in the same spot as Isabel.
Used to use/understand most of the «old» standalone mahout, now doing some
data transformation with spark, but I am not sure where Samsara fits in the
ecosystem.
We also do quite a bit of computation in R.
Basically we are willing to learn and support the proje
Hello Isabel and Florent,
I'm currently working on a side-by-side demo of R / Python / SparkML(Mllib)
/ Mahout, but in very broad strokes here is how I would compare them:
R- Most statistical functionality. Most flexibility. Implement your own
algorithms- mathematically expressive language. Wo
My perspective comes from the data side. I work in recommenders and that means
log analysis for huge amounts of data. Even a small shop doing this will
immediately run our of the capacity in Python or R on a single node. MLlib is a
set of prepackaged algorithms that will work (mostly) with big d
>From my perspective, the state of the art of machine learning is with
systems like Tensorflow and dl4j. If you can deal with the limits of a
non-clustered GPU system, then Theano and Cafe are very useful. Keras
papers over the difference between different back-ends nicely.
Tensorflow and Theano c
Trevor gave a great presentation at our user group. It was live streamed on
Periscope. Trevor - maybe you could share the url? I don’t have it handy at
the moment.
SCott
> On Jan 31, 2017, at 8:50 AM, Trevor Grant wrote:
>
> Hello Isabel and Florent,
>
> I'm currently working on a side-by-
I was just watching it. ;)
https://trevorgrant.org/
Thanks Trevor!
On Tue, Jan 31, 2017 at 3:41 PM, scott cote wrote:
> Trevor gave a great presentation at our user group. It was live streamed
> on Periscope. Trevor - maybe you could share the url? I don’t have it
> handy at the moment.
>
>
>From my point of view, mahout as a whole has shifted from what it was in
2009-2012:
At the time, Mahout (and Mahout in Action is a great testimony of that era)
was a sum of bricks, full of relatively high-level mathematics concepts but
useable by what I'd call (myself included) wanna-be datascient
On Tue, Jan 31, 2017 at 3:01 AM, Isabel Drost-Fromm
wrote:
>
> Hi,
>
>
> To give some advise to downstream users in the field - what would be your
> advise
> for people tasked with concrete use cases (stuff like fraud detection,
> anomaly
> detection, learning search ranking functions, building a