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Linkdump #119

August 23, 2019 11:31 am , Markus Konrad
R
  • In search of the perfect partial plot
  • Caret vs. tidymodels – comparing the old and new
  • ggforce – A Flurry of Facets
  • ggtext – Improved text rendering for ggplot2.
Python
  • Python Libraries for Interpretable Machine Learning
  • Matplotlib 3.1 cheat sheet
  • Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks
Interesting articles, projects and news
  • Training bias in AI “hate speech detector” means that tweets by Black people are far more likely to be censored
  • What’s next for the popular programming language R
  • DeepMind’s Losses and the Future of Artificial Intelligence
  • Freeing the data scientist mind from the curse of vectoRization
  • The Inspection Paradox is Everywhere
  • Snorkel – Programmatically Building and Managing Training Data
  • Robust learning from untrusted sources
  • Twitter und Facebook sehen chinesische Meinungsmache rund um Hongkong
  • Software ermöglicht Deep Fakes in Echtzeit
  • CROKAGE: A New Way to Search Stack Overflow
  • Book: Christopher M. Bishop – Pattern Recognition andMachine Learning
  • Der globale Rechtsterrorismus von /pol/ auf den chan-Foren
  • Measurable Counterfactual Local Explanations for any Classifier
  • YouTube should stop recommending garbage videos to users
  • A Dynamic Embedding Model of the Media Landscape
  • Trump admin reportedly drafting order to counter social media “bias”
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