(Promo video for the Knight Center course.)
If you're a journalist, you've probably done a story or two about about AI. But did you know you can use machine learning, too?
I'll show you!
While the classes below have passed, the videos and accompanying code for the Knight Center course are now available free online.
Work at your own pace and enjoy. It could help with your next investigation, and the experience will help you report about machine learning, too.
Past classes:
September 13, 2019 • 11 am • InterContinental New Orleans • Treme / 2nd Floor
Hands-on Introduction: Machine Learning for Journalists at ONA
If you're going to ONA, get a practical, hands-on introduction to using machine learning to help pore through documents, images, and data records. This 90-minute training session by members of the Quartz AI Studio will give you the chance to use third-party tools and learn how to make custom machine-learning models. We'll walk you through pre-written code you can take home to your newsroom.
October 26 & 27, 2019 • Newmark Graduate School of Journalism • New York City
This will be a small-group, guided bootcamp where we'll spend the weekend working through practical machine-learning solutions for journalists. You'll learn to recognize cases when machine learning might help solve such reporting problems, to use existing and custom-made tools to tackle real-world issues, and to identify and avoid bias and error in your work. Students will get personalized instruction and hands-on experience for using these methods on any beat.
November 18 to December 15 • Knight Center for Journalism in the Americas • Online • $95
4-Week Online Course: Hands-on Machine Learning Solutions for Journalists
In this online video course, you will first learn how to use some off-the-shelf systems to get fast answers to basic questions: What’s in all of these images? What are these documents about? Then we’ll move to building custom machine learning models to help with a particular project, such as sorting documents into particular piles. Our work will be done with pre-written code, so you always start with a working base. You’ll then learn more by modifying it.
Updated 21 April 2020