Machine learning basics

  • Event: 2016 CAR Conference
  • Speaker: Chase Davis of Star Tribune
  • Date/Time: Saturday, Mar. 12 at 4:45pm
  • Location: Gold Coin
  • Audio file: No audio file available.

Prepare for the world's fastest introduction to a subject some people spend decades of their lives studying: machine learning. Specifically, we'll be talking about supervised learning: a technique that allows you to train computers to make simple decisions, which is useful (among other things) for complex data cleaning. Be warned: This session will move very quickly. The code is simple, but we won't have time to cover basic Python syntax, so some programming experience is helpful.

 

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

Related Tipsheets

  • Machine learning basics repo
    Prepare for the world's fastest introduction to a subject some people spend decades of their lives studying: machine learning. Specifically, we'll be talking about supervised learning: a technique that allows you to train computers to make simple decisions, which is useful (among other things) for complex data cleaning. https://github.com/cjdd3b/nicar2016/tree/master/machine-learning