R
- Drawing beautiful maps programmatically with R, sf and ggplot2 â Part 1: Basics
- Drawing beautiful maps programmatically with R, sf and ggplot2 â Part 2: Layers
- Drawing beautiful maps programmatically with R, sf and ggplot2 â Part 3: Layouts
- A new CRAN task view: Missing Data
- ggwordcloud â ggwordcloud provides a word cloud text geom for ggplot2
- shinytest – Automated testing for Shiny apps
- Explicitly Optimizing on Causal Effects via the Causal Random Forest: A Practical Introduction and Tutorial
- About a Curious Feature and Interpretation of Linear Regressions
- Tidying workflows in R using drake
- In regression, we assume noise is independent of all measured predictors. What happens if it isn’t?
- RStudio 1.2 Preview: Reticulated Python
- r2d3 – R Interface to D3 Visualizations
Python
- Pylift: A Fast Python Package for Uplift Modeling
- Bokeh 1.0 Released
- Twelve malicious Python libraries found and removed from PyPI
- Gensim Tutorial â A Complete Beginners Guide
- Hidden features of Python
- Camelot: PDF Table Extraction for Humans
- The Waiting Time Paradox, or, Why Is My Bus Always Late?
- The hacker’s guide to uncertainty estimates
Interesting articles, projects and news
- Macht und Machtmissbrauch in der Wissenschaft
- Facebook muss GeschÀftsmodell umbauen
- Your Kidâs Apps Are Crammed With Ads
- KI druckt Kunst: Auktionshaus Christie’s versteigert KI-GemĂ€lde fĂŒr 380.000 Euro
- Acting like a psychopath is great for male CEOs, not so much for women
- Principled missing data methods for researchers
- A Review of the Neural History of Natural Language Processing
- KI-Forscher: “Deep Learning wird abgelöst”
- Alexa hört dich husten: Amazon erhĂ€lt Patent auf Werbeangebote fĂŒr Kranke
- Gendatenbanken erlauben bald Identifizierung fast aller weiĂen US-Amerikaner
- US-Wahl: Twitter veröffentlicht Millionen russische Troll-Tweets
- Flight rules for Git
- ferret – Declarative web scraping
- The best books on Data Science recommended by Roger D. Peng
- Die Kunst der Vorhersage â Menschen neigen dazu, extreme oder auffĂ€llige Daten ĂŒberzubewerten. Maschinen tun das nicht. Sind sie uns daher prinzipiell ĂŒberlegen?
- Algorithmus geht Lernschwierigkeiten bei SchĂŒlern auf den Grund
- The âGold Standardâ for Data Science Project Management
- Amazon scraps secret AI recruiting tool that showed bias against women
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