R
- COVID-19 Data Hub: unified data hub by collecting worldwide fine-grained case data, merged with exogenous variables helpful for a better understanding of COVID-19
- dplyr 1.0.0 available now
Python
- The Python heapq Module: Using Heaps and Priority Queues
- SciPy 1.5.0
- NumPy 1.19.0
- pewanalytics – Text and statistics utilities from Pew Research Center
- pewtils – General programming utilities from Pew Research Center
Other interesting articles, projects and news
- Gesichtserkennung: Algorithmus führt zur Verhaftung eines Unschuldigen
- Why Statistics Don’t Capture The Full Extent Of The Systemic Bias In Policing
- MIT, guided by open access principles, ends Elsevier negotiations
- AI has been stagnating for a decade
- Why Are Good Jobs Disappearing if Robots Aren’t Taking Them?
- The Robots are Just Automated Management Tools
- Scrapoxy hides your webscraper behind a cloud. It starts a pool of proxies to relay your requests. Now, you can crawl without thinking about blacklisting
- A teenager’s guide to building the world’s best pandemic and protest trackers
- Forecasting the US elections – The Economist is analysing polling, economic and demographic data to predict America’s elections in 2020
- What I learned from looking at 200 machine learning tools
- Using GitHub Actions for MLOps & Data Science
- Learn Data Science from Top Universities for Free
- How Data Became One of the Most Powerful Tools to Fight an Epidemic
- Artificial-intelligence tools aim to tame the coronavirus literature
- Facebook reportedly ignored its own research showing algorithms divided users
- Measuring the predictability of life outcomes with a scientific mass collaboration
- Microsoft ersetzt Journalisten durch Künstliche Intelligenz
- Penrose: from mathematical notation to beautiful diagrams
- Stichproben: Zweifel an der Zuverlässigkeit der Daten von Google Trends
- Octoverse spotlight: An analysis of developer productivity, work cadence, and collaboration in the early days of COVID-19
Recent Comments