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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