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October, 18-20, 2018 – UFSCar
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Data science is a multidisciplinary field that encompasses methods and
processes for obtaining knowledge or understanding of premises from data
(information).
The solutions presented in Data Science employ methods from different
areas of mathematics, statistics, information science, scientific computing
and especially in the sub-areas of machine learning, statistical modelling,
classification, data mining, artificial intelligence, predictive methods and
probabilistic models.
Statistical concepts and data analysis are employed to understand and analyze
current phenomena. A large amount of data is available and its analysis
depends not only on the usual statistical methods, but also on the use of
computational techniques to address the Big Data problem. In this
way, it is understood that Data Science naturally links Statistical Science and
Computer Science by developing solutions to the challenges faced by other areas
such as Astronomy, Biology, Epidemiology, Linguistics, Medicine, among others.
The #meetingdata is a meeting to discuss/present the development of Data Science
under the realm of multidisciplinarities that are fundamental for research. The
topics will cover from the statistical analysis to machine learning
methods, fostering a search for current solutions to the challenges and needs
of society.
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