Dear Wade,

that sound very interesting for me. Since last year I am working with 
Deep-learning-for-java 
and also Keras. I am working on some research projects in combinations with 
mobile robots, 
motion analysis and anomaly detection. Because most of my ui based tools are 
based on the 
Netbeans platform I am also thinking about integrating my machine learning 
codes into the 
Netbeans based applications. 
So I am very interested in discussion with other people of our Netbeans 
community working 
with machine learning stuff.

best regards
Oliver
> This week I took a trip to Atlanta to attend DevNexus. It was great. I got
> to see old friends, meet new ones, and attend some really great talks.
> 
> A couple of those talks were on Machine learning. Carol McDonald did one
> using Apache Spark, Hadoop HBase, and Zeppelin. It was great.
> 
> Another interesting talk was from Oleg Selajev on Graal VM. During the Q&A
> we discussed some great prospects of being able to run Java, and other JVM
> languages, along with Python and R plus LLVM C/C++ bindings in the same VM,
> and how that could have great implications for machine learning considering
> the ecosystems for those tools.
> 
> Pulling those ideas together I couldn’t help but think of how great it would
> be to be able to work with all these tools along with Apache NetBeans in
> some way once we get to a place to start making new things happen.
> 
> There were also some great talks on Kubernetes, and being able to run these
> things in clusters, locally or in cloud providers, or even on a single
> system. Merging together some concepts I have seen from Emilian on cloud
> computing plus NetBeans along with the vast Apache Ecosystem make for some
> interesting Kuberrnetes plus Containers and ML scenarios.
> 
> This is really just me sharing the concept at the moment to Spark some some
> interest (pun intended).
> 
> Thanks,
> 
> Wade
> 
> =======================
> 
> Wade Chandler
> e: [email protected]
> t: @wadechandler
> https://www.linkedin.com/in/wade-chandler


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