Lynx Roundup, April 22nd 2018

Lynx Roundup, April 22nd 2018

Designing Agent incentives! Auditing facial recognition! Python & R interoperability!

Matthew Alhonte
Matthew Alhonte
Pandaral·lel — A simple and efficient tool to parallelize your Pandas operations on all your CPUs.
Instead of using only one CPU during your `dataframe.apply` or other Pandas operations, Pandaral·lel distributes the computation on all your cores, by changing only one line of code.
Designing agent incentives to avoid side effects
By Victoria Krakovna (DeepMind), Ramana Kumar (DeepMind), Laurent Orseau (DeepMind), Alexander Turner (Oregon State University) A major challenge in AI safety is reliably specifying human…
From ‘R vs Python’ to ‘R and Python’
If you are into Data Science, the two programming languages that might immediately come to mind are R and Python. However, instead of considering them as two options, more often than not, we end up…
chiphuyen/lazynlp
Library to scrape and clean web pages to create massive datasets. - chiphuyen/lazynlp
Americans want the wealthy and corporations to pay more taxes, but are elected officials listening?
Paywalls block scientific progress. Research should be open to everyone | Jason Schmitt
To democratise scholarly publishing, individual academics need to take action
Roundup

Matthew Alhonte

Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.