Easy machine learning for journalists
In newsrooms, machine learning has been used to identify secret spy planes, tag unreported hate crimes, track overfishing, and more. Google’s machine learning tools make it easy to build projects like this, no data science background required. In this session, a Google engineer will give an overview and show how they can be used for compelling, data-driven reporting and a Quartz journalist will describe how machine-learning tools fit into familiar investigative-journalism processes.
This session is sponsored by the Knight Foundation. IRE retains control of content, including the topic and speaker selection, for all conference sessions.
Dale Markowitz (@dalequark) is a Developer Advocate for Machine Learning on Google Cloud. Before that she worked as a software engineer in Google Research and for the online dating site OkCupid. Dale has written about society and technology for The Atlantic, The Washington Post, Gizmodo, and others.
Jeremy B. Merrill is a machine learning journalist with Qz's AI Studio. Previously, he has reported with a vast crowd-sourced database of political Facebook ads at ProPublica. @jeremybmerrill
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