Thanks, that is an awesome list of resources.

On Sun, Apr 5, 2015, 4:20 AM A <aael...@gmail.com> wrote:

> Caveats... there is a lot to explore, things are continually changing and
> evolving, I haven't made an exhaustive search, but here is what is quickly
> google-able... YMMV
>
> # Books
> - Eric Rochester: https://www.packtpub.com/big-data-and-business-
> intelligence/mastering-clojure-data-analysis and
> http://www.ericrochester.com/pages/announcements/clj-data-
> analysis/index.html
> - Akhil Wali:  https://www.packtpub.com/big-data-and-business-
> intelligence/clojure-machine-learning
>
> # Youtube videos
> - Jony Epsilon: http://gorilla-repl.org/
> - Edmund Jackson: "Clojure Data Science" https://www.youtube.com/watch?
> v=RVmY2lQ4DHE
> - Mike Anderson: "Enter the Matrix" https://www.youtube.com/watch?
> v=_h9TLJtjSJo and "Machine Learning Live" https://www.youtube.com/watch?
> v=QJ1qgCr09j8
> - Aysylu Greenberg: "Loom and Graphs in Clojure"
> https://www.youtube.com/watch?v=wEEutxTYQQU
> - Cascalog: https://www.youtube.com/results?search_query=cascalog
>
> # Clojure (wrappers)
> - clj-vw: https://github.com/engagor/clj-vw
> - deeplearning4j.org e.g. [org.deeplearning4j/dl4j-spark
> "0.0.3.3.2.alpha1"]
> - core.matrix (https://github.com/mikera/core.matrix)
> - Raynes/Conch (shell out to the executable of your choice.)
> https://github.com/Raynes/conch
> - loom (https://github.com/aysylu/loom)
> - https://github.com/marcliberatore/mallet-lda
> - java interop
>
> I recommend settling on a particular topic/method/problem you are
> interested in solving and then searching specifically on that, craft a few
> functions, try some approaches, existing tools, etc...
>
> best,
> -A
>
>
>
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