All the data you can eat
Book learnin'

Machine learning for the newsroom made easy

Adam Oxford
Adam Oxford

There’s plenty of online resources for journalists who want to learn how to wrangle data for their stories, but courses can feel a little irrelevant when the examples involve iris petals or decades-old fuel consumption data. is different. Not only is it delightfully “non-threatening” in the way that compiler Jonathan Soma writes about picking up Python, it’s also based almost entirely on real world investigative material. Soma skillfully demystifies machine learning, looking at the work of top journalists at the LA Times, Bloomberg, Propublica and more to replicate how they tackled issues of the day. These include crime classification, textual analysis, bot detection, medical complaints and, well, go see for yourself.

(Pic: Patricia_Artflow)

Adam Oxford
  • Adam Oxford is a freelance journalist, media consultant and civic tech enthusiast. He also works closely with startups developing solutions to access to justice problems.

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