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Using JNIs (like OpenCV) in Flink
For a bigger project which I hope to blog about soon, I needed to get the OpenCV Java Native Library (JNI) running in a Flink stream. It was a pain in the ass, so I’m …
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Introducing Pre-canned Algorithms in Apache Mahout
Apache Mahout v0.13.0 is out and there are a lot of exciting new features and integration including GPU acceleration, Spark 2.x/Scala 2.10 integration (experimental- full blown in 0.13.1), and a new framework for “precanned algorithms”. …
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Lucky Number 0.13.0
Apache Mahout has just released the long awaited 0.13.0 which introduces modular native solvers (e.g. GPU support!). TensorFlow has done a great job driving the conversation around bringing GPU accelerated linear algebra to the masses …
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Apache Mahout! What’s Next? DFW Big Data Meetup Talk
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Watching YouTube Activity with Apache Streams
We’re finishing up our series of blogs on providers with YouTube. After this we’ll get down business on building our own social monitoring quasi-app! Getting YouTube Credentials Before accessing any API, we of course need …
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Deep Magic, Volume 3: Eigenfaces
This week we’re going to really show off how easy it is to “roll our own” algorithms in Apache Mahout by looking at Eigenfaces. This algorithm is really easy and fun in Mahout because Mahout …
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Getting to Know Your Friends with Apache Streams
In out last adventure we got did a basic example of Apache Streams with Twitter data. This week we’re going to extend that example with Facebook data! Also note, if this seems a little light …
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Dipping Your Toes in Apache Streams
Apache Streams is a utility for easily interacting with an ever growing galaxy of social media APIs, collecting data into a common format, and persisting to file or DB. This post is the first of many to explore this exciting project.
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Deep Magic Volume2: Absurdly Large OLS with Apache Mahout
In this post we’re going to really show off the coolest (imho) use-case of Apache Mahout – roll your own distributed algorithms. All of these posts are meant for you to follow-along at home, and …
