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Rescooped by lajarre from Dev Breakthroughs
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Parallel.js: Parallel computing with Javascript

Parallel.js is a tiny library for multi-core processing in Javascript. It was created to take full advantage of the ever-maturing web-workers API. Javascript is fast, no doubt, but lacks the parallel computing capabilites of its peer languages due to its single-threaded computing model. In a world where the numbers of cores on a CPU are increasing faster than the speed of the cores themselves, isn't it a shame that we can't take advantage of this raw parallelism?

Parallel.js solves that problem by giving you high level access to multicore processing using web workers. It runs in your browser (as long as it supports web workers). Check it out.


Via Nicolas Weil
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Rescooped by lajarre from Science News
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The differences between machine learning, data mining, and statistics

The differences between machine learning, data mining, and statistics | Dataa | Scoop.it

From machine learning to data mining. From statistics to probability. A lot of it seems similar, so what are the differences? Statistician William Briggs explains in an FAQ.


Via Sakis Koukouvis
lajarre's insight:

Very good FAQ to get a quick grab on the terms you can hear around statistical data analytics.

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Aurélia-Claire Jaeger's curator insight, December 20, 2012 4:33 AM

Une vision intéressante.

Extrait (traduit, enfin j'espère à peu près bien) : "Qu'est ce que le "Big Data" ? - Ce que l'on veut que ce soit, des données qui ne sont pas petites, un mot éphémère à la mode, une reconnaissance du fait qu'il est difficile de stocker et d'accéder à des bases de données volumineuses, un faux espoir (avec néanmoins parfois, fugitivement, des vérités lumineuses) que si les caractéristiques infimes sont connues et conservées à la microseconde près, on arrivera à prévoir tout ce qui concerne cette espèce imprévisible : les êtres humains."

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