On October 19 2017, Ubuntu 17.10 will be released and as many of you know it packs lots of significant changes. I spend a week testing the Beta 2 and in this “last minute” review, I document some of the less obvious features/gotchas of Ubuntu 17.10. I also share with you my experience and provide […]
The Datumbox v0.8.1 has been released! Download it now from Github or Maven Central Repository. What is new? The main focus of version 0.8.1 is to resolve various bugs, update the depedencies and improve the code architecture of the framework. Here are the details: Dependencies: Updated the Maven Compiler, Nexus Staging, Surefire, SLF4J and Logback […]
The ALS algorithm introduced by Hu et al., is a very popular technique used in Recommender System problems, especially when we have implicit datasets (for example clicks, likes etc). It can handle large volumes of data reasonably well and we can find many good implementations in various Machine Learning frameworks. Spark includes the algorithm in […]
The dstat is an awesome little tool which allows you to get resource statistics for your Linux box. It has a modular architecture which allows you to develop additional plugins and it’s easy to use. Recently I was profiling a Deep Learning pipeline developed with Keras and Tensorflow and I needed detailed statistics about the […]
Datumbox Framework v0.8.0 is out and packs several powerful features! This version brings new Preprocessing, Feature Selection and Model Selection algorithms, new powerful Storage Engines that give better control on how the Models and the Dataframes are saved/loaded, several pre-trained Machine Learning models and lots of memory & speed improvements. Download it now from Github […]
Datumbox offers an open-source Machine Learning Framework and an easy to use and powerful API.
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