Getting started with machine learning

  • Event: 2015 CAR Conference
  • Speakers: Chase Davis of Star Tribune; Jeff Ernsthausen of ProPublica; Jacob Fenton of Public Accountability Initiative
  • Date/Time: Saturday, Mar. 7 at 3:20pm
  • Location: International 2-3
  • Audio file: Only members can listen to conference audio

You don't need a PhD to get started with machine learning. Learn about creative ways machine learning and other statistical modeling techniques have been used to solve unique problems in three different newsrooms. We'll cover several examples and leave plenty of time for questions.

Speaker Bios

  • Chase Davis works on initiatives related to digital transformation and strategy at the Star Tribune, in his hometown of Minneapolis. Previously he ran the Interactive News desk at The New York Times and worked as as reporter and editor in Texas, Iowa and California. He also teaches a class in advanced data journalism at his alma mater, Mizzou. @chasedavis

  • Jeff Ernsthausen is a data reporter at ProPublica. He joined ProPublica from the Atlanta Journal-Constitution, where he worked as a data reporter on the investigative team. Prior to his time in journalism, he worked as an economic analyst and researcher at the Federal Reserve.

  • Jacob Fenton is the lead developer of The Investigative Reporting Workshop’s Public Accountability Project. He’s worked previously as Editorial Engineer at The Sunlight Foundation, as Director of Computer-Assisted Reporting at IRW, and as a reporter and editor for newspapers in Pennsylvania and California. In 2015/16 he was a JSK Fellow at Stanford. He's based in Portland, Oregon.

Related Tipsheets

No tipsheets have yet been uploaded for this event.