Monthly Archives: March 2019

R

• The ggforce Awakens (again)

Interesting articles, projects and news

• Catching a Unicorn with GLTR: A tool to detect automatically generated text
• Elizabeth Warren proposes breaking up Amazon, Google, and Facebook
• Maschinelles Lernen: Das Problem der Nachvollziehbarkeit
• Studie: 50 Prozent der Systeme für “Künstliche Intelligenz” schummeln
• The AI-Art Gold Rush Is Here
• How the Victorians Mapped London’s Cholera
• Viewing Matrices & Probability as Graphs
• Lessons learned building natural language processing systems in health care
• A curated list of awesome machine learning interpretability resources

R

• dplyr 0.8.0
• A wee look at group_map and group_split in dplyr
• A example in causal inference designed to frustrate: an estimate pretty much guaranteed to be biased

Python

• Python Data Science Handbook: full text in Jupyter Notebooks

Interesting articles, projects and news

• MIT gründet KI-Hochschule
• You created a machine learning application. Now make sure it’s secure.
• China’s “democracy” includes mandatory apps, mass chat surveillance
• Künstliche Intelligenz: Europas “KI-Startups” fast zur Hälfte ohne Bezug zu KI
• The rise of tech-worker activism
• Missing Link: KI – die Künstlichen Idioten des digitalen Kapitalismus
• Heart of Code hackerspace

R

• Dynamite plots must die
• ggplot2 extensions – gallery
• the ggplot flipbook
• Text mining the EU withdrawal bill Hansard II
• R for Journalists
• “Correlation is not causation”. So what is?

Python

• An Introduction to Cython, the Secret Python Extension with Superpowers

Interesting articles, projects and news

• Facebook: Auch Moderatoren anfällig für Verschwörungstheorien
• Wikipedia – Das Weltwunder altert
• Seven Myths in Machine Learning Research
• Get ready for a Facebook-sponsored cryptocurrency
• Report: US Cyber Command took Russian trolls offline during midterms
• Unterricht: »Wir vermiesen vielen Schülern die Mathematik«
• Twenty minutes into the future with OpenAI’s Deep Fake Text AI
• KI: OpenAI will Sozialwissenschaftler in die Forschung einbeziehen
• KI berechnet Rückfälligkeitswahrscheinlichkeit von Straftätern
• Schwedisches Medienhaus gewinnt Abonnenten auch mittels Roboter-Journalismus
• Lügen für eine Hand voll Dollar – Mindestens jede zehnte Versuchsperson macht falsche Angaben, um an einer bezahlten Studie teilnehmen zu können
• The why and how of nonnegative matrix factorization
• Qresp – The open source software Qresp “Curation and Exploration of Reproducible Scientific Papers” facilitates the organization, annotation and exploration of data presented in scientific papers
• The replication crisis may also be a theory crisis
• Researchers, scared by their own work, hold back “deepfakes for text” AI
• Huge study finds professors’ attitudes affect students’ grades