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.
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Victor Yakovenko is an expert in statistical physics and studies how the flow of money and the distribution of incomes in American society resemble the flow of energy between molecules in a gas. Articles about MATHEMATICS: http://www.scoop.it/t/science-news?tag=mathematics 
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Explaining the science of random sampling and why it's possible to query a few hundred or thousand people to accurately determine the opinions of the general public...
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In a new study, a team of physicists has used concepts from statistical physics to identify some characteristic behaviors of pre-bankrupt stocks that differ significantly from stocks that don't become bankrupt. The approach may eventually help investors forecast stock bankruptcies weeks or months in advance.
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Could different jury sizes improve the quality of justice? The answers are not clear, but mathematicians are analyzing juries to identify potential improvements.
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A study at the University of Alcalá, Spain has compared the employment crisis of 1991-1994 with the current crisis from 2007 to 2010, as well as the labour reforms that took place in 1994 and 2010 respectively.
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Very good FAQ to get a quick grab on the terms you can hear around statistical data analytics.
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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