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Data Science: Processing Relational Data for Business or Research

Using Wolfram Language, we can explore information provided by a raft of data reporting within enterprise systems to better to find patterns and insights for companies. Wolfram Language can import, process and combine all this information and relate it to real-world curated data. This data science hype brings P&D to many companies, adding value and avoiding risks.

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1311 videos match your search.
Eric Mjolsness
Collaborative projects have resulted in several Mathematica-implemented modeling languages aimed at general-purpose biological modeling, which is a useful and topical but an indefinitely expandable goal. We update previous work on ...
Jae Bum Jung/Yan Zhuang
Phillip Todd
Василий Сороко
Phil Ramsden
Lou D'Andria
Constructing interfaces with Dynamic, DynamicModule and Manipulate is nothing new, but those aren't the only Dynamic primitives available in Mathematica. In this talk, we'll identify and demonstrate some of the ...
Галина Михалкина, Григорий Фридман
Галина Михалкина
Андрей Кротких
Антон Екименко, Кирилл Белов
Физический институт имени П.Н. Лебедева
Григорий Фридман, Олег Иванов
Галина Михалкина
Олег Кофнов
Николай Сосновский
Микаэл Эгибян
Микаэл Эгибян
Леонид Шифрин
Вахагн Геворгян
Алексей Семенов