Getting started with machine learning

  • Event: 2015 CAR Conference
  • Speakers: Chase Davis of Star Tribune; Jeff Ernsthausen of ProPublica; Jacob Fenton of independent journalist
  • 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 is a senior digital editor 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 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 in Pennsylvania. In 2015 he was a JSK Fellow at Stanford, where he worked on structured data extraction and machine learning. 

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