Keeping up with data — Week 43 reading list

A curious mind wandering through the world of data

Languages spoken around the world. Source: Why You Should Do NLP Beyond English

A really productive week is ending. Some doors are closing; new ones are opening. I got a lot of inspiration from articles I’ve read (mostly about MLops) and webinars I’ve attended (e.g. Keboola’s data science workbench). News is still full of Covid-19 second wave and US presidential election.

So please enjoy your Saturday breakfast with my reading list about data.

Recently, I’m very interested in automated data quality testing of ML models in production. So I’m curious to find what’s out there. But first, let’s enjoy some more cycling outdoors before the winter comes.