Gartner hype cycle 2012. (Big) data. Technos clés 2015. L'Empire Samsung - Un Oeil sur la Planete. Future & Web... Wikimedia 2015. Data science. Data Science Data science is the study of the generalizable extraction of knowledge from data,[1] yet the key word is science.[2] It incorporates varying elements and builds on techniques and theories from many fields, including signal processing, mathematics, probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products.
Data Science need not be always for big data, however, the fact that data is scaling up makes big data an important aspect of data science. A practitioner of data science is called a data scientist. Data scientists solve complex data problems through employing deep expertise in some scientific discipline. Good data scientists are able to apply their skills to achieve a broad spectrum of end results. History[edit] On 10 November 1998, C.F. Jeffrey M. Informatiqu et compléxité. Kevin Kelly on how technology evolves. 2013 Technology Trends To Watch - A HorizonWatching Trend Report. | materiO’
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