My experience with tooling enabled to process large data is that the whole process is still rather cumbersome.
#How to install weka in ubuntu free#
Much as I do love challenges and hate unsolved problems, one of the problems I’ve run into already about a year ago was when trying to get my Octave (an free open-source version of otherwise very expensive and very powerful MATLAB software) to run my ‘complex’ math. In my attempts to tackle various Big Data topics, I very often run into technological issues with current tooling. That ultimate clever algorithm solving particular business challenge or even working on the “Holy Grail” of all SW development – the AI (Artificial Intelligence).
#How to install weka in ubuntu software#
That all lead to the need of having efficient and well performing methods (applied math/algebra/statistics) as well as having a computing environments where you can test and run your hypothesis or algorithm in order to for example learn a statistical model to be used for your prediction software that you are working on. And if you really are not interested in any details – check the section ‘ The Solution for Lazy ones’)īig Data is all about processing massive data amounts, distributed (cloud) computing, parallel processing, in-memory computing, and the need to apply complex algorithms ( Machine Learning) on large scale data sets.
(you can skip to the next section – The Problem – if you are here solely after the Octave with -enable-64 for Linux. Data Science for the “poor” – Octave 3.8.2 for the Big(ger) Data (the experimental -enable-64 compilation switch) Intro
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