could help them.
>
> Cheers,
> A
>
>
> On Wednesday, October 11, 2017 at 1:10:36 PM UTC-7, Daniel Whitenack wrote:
>>
>> Hi all. I just released a blog post about building a neural net in Go
>> from scratch: http://www.datadan.io/building-a-neural-net-from-sc
>> r
Hi all. I just released a blog post about building a neural net in Go from
scratch: http://www.datadan.io/building-a-neural-net-from-scratch-in-go/.
Hope this is interesting for some and inspires more of this sort of thing.
Would love to talk about it here or in the #data-science channel on Slac
Hi Vikram,
Great questions. In general for data related things, this is a great place to
start looking for resources:
https://github.com/gopherdata/resources/blob/master/tooling/README.md. that is
a curated list that is kept up to date.
I use https://github.com/gonum/plot quite a bit and found
Hi Johann,
Looks like there are a good number of packages listed here:
https://github.com/gopherds/resources/blob/master/tooling/README.md#nlp
In particular, it sounds like this one has some of what you need:
https://github.com/advancedlogic/go-freeling
Daniel
On Tuesday, November 15, 2016 at
Thanks Tom! I think it would be great to add a few of these here:
https://github.com/gopherds/resources/tree/master/tooling
where you think it is appropriate. Would you consider submitting a PR with
some additions?
Daniel
On Sunday, November 13, 2016 at 1:33:27 PM UTC-5, Tom Payne wrote:
>
>
Thanks Josh!
This is a nice complement to the auto generated libraries which as stated:
"Due to the auto-generated nature of this collection of libraries, complete
APIs or specific versions can appear or go away without notice."
I added your library here:
https://github.com/gopherds/resources/
Chris,
This is great to see! Nice work so far. I enjoyed experimenting with glow
and am excited to follow this project. If you are able you might provide
some updates in #data-science on gophers slack. I know people there would
love to hear about gleam.
Best,
Daniel
On Monday, September 1
Henrik and David,
Yes, this is precisely what pachyderm is trying to accomplish (along with a
built in data versioning system). It's pretty wonderful, and I recommend
running through their quick start guide:
http://pachyderm.readthedocs.io/en/latest/
Daniel
On Monday, September 12, 2016 at 1
Hi Everyone,
There are actually a lot of people doing data science with Go or just
interested in the idea. We have been discussing this a good bit on the
#data-science channel of gophers slack, but it was suggested there that a
post here would help make more people aware of these discussion an