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Linkdump #103

February 8, 2019 6:46 pm , Markus Konrad
R
  • Half a dozen frequentist and Bayesian ways to measure the difference in means in two groups
  • Creation of semantic networks (with quanteda)
  • politicaldata – An R package for acquiring and analyzing political data — including polls, election results, legislator information, and demographic data.
  • How the BBC Visual and Data Journalism team works with graphics in R
Python
  • Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples
  • Python Developers Survey 2018 Results
  • StanfordNLP – Python natural language analysis package
Interesting articles, projects and news
  • Amazon Knows What You Buy. And It’s Building a Big Ad Business From It.
  • Mark Zuckerberg still thinks Facebook has made the world better
  • Open Corporates: Millionen deutsche Unternehmensdaten durchsuchbar gemacht
  • Explizite Unsicherheit soll KI-Algorithmen zu ethischen Entscheidungen verhelfen
  • Japans Regierung hackt eigene BĂĽrger
  • Fraunhofer-Tool: Dank maschinellem Lernen automatisch “Fake News” erkennen
  • FOSDEM: Dezentrale WWW-Alternative Solid – jedem sein eigenes Like
  • Facebook zeigt sich zum 15. Geburtstag immun gegen Skandale
  • Missing Link: Post-normal – Wissenschaft in Zeiten unsicherer Fakten und alternativloser Technik
  • WIPO-Studie: Patentwelle bei KĂĽnstlicher Intelligenz rollt heran
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