big data

R for data science

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This website is (and will always be) free to use, and is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. If you’d like a physical copy of the book, you can order it from amazon; it was published by O’Reilly in January 2017. URL resource : https://r4ds.had.co.nz/ My data science resources page. (URL)

1st Intl. NLP for Informal Text- Deadline 17/4

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The 1st International Workshop on Natural Language Processing for Informal Text (NLPIT 2015) In conjunction with The International Conference on Web Engineering(ICWE 2015) June 23, 2015, Rotterdam, The Netherlands http://wwwhome.cs.utwente.nl/~badiehm/nlpit2015/ Overview The rapid growth of Internet usage in the last two decades adds new challenges to understand the informal user generated content (UGC) on the … Read more

CFP From data to evidence in English language research: Big data, rich data, uncharted data 19-22 October 2015

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From data to evidence in English language research: Big data, rich data, uncharted data ***Conference in Helsinki, Finland, 19-22 October 2015*** To diversify the discussion of data explosion in the humanities, the Research Unit for Variation, Contacts and Change in English (VARIENG) is organising an academic conference that addresses the use of new data sources, … Read more

#CFP #BigData in a Transdisciplinary Perspective

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(Through the Corpora-List) Herrenhausen Conference, March 25-27, 2015, Hanover, Germany Big Data in a Transdisciplinary Perspective Large amounts of data, a variety of sources, high speed production, but also high speed processing – these are the basic characteristics of Big Data. The amount of data that is generated and collected in each second grows exponentially. … Read more