Difference between revisions of "Politics"
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<b>A bold idea to replace politicians | César Hidalgo | <b>A bold idea to replace politicians | César Hidalgo | ||
</b><br>César Hidalgo has a radical suggestion for fixing our broken political system: automate it! In this provocative talk, he outlines a bold idea to bypass politicians by empowering citizens to create personalized AI representatives that participate directly in democratic decisions. Explore a new way to make collective decisions and expand your understanding of democracy. | </b><br>César Hidalgo has a radical suggestion for fixing our broken political system: automate it! In this provocative talk, he outlines a bold idea to bypass politicians by empowering citizens to create personalized AI representatives that participate directly in democratic decisions. Explore a new way to make collective decisions and expand your understanding of democracy. | ||
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+ | <b>The Electome: Where political journalism meets AI | ||
+ | </b><br>Built at the Laboratory for Social Machines (LSM) with support from Twitter and Knight Foundation, The Electome is a data project aimed at improving journalism and electoral politics in the social-media age. During the 2016 US presidential election, The Electome used machine learning, network science, and other artificial-intelligence techniques to track the public response to the campaign, with a focus on policy issues. Dozens of stories were published with news organizations including The Washington Post, CNN, and Vice. The Electome was also an official partner of the Commission on Presidential Debates, providing data and suggested questions to the moderators. One of its analytic tools was the focus of an exhibit at the Newseum in Washington, D.C. LSM is the only science lab in the world with access to Twitter’s full output of approximately 500 million tweets per day. | ||
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+ | <youtube>A5wFejK6U-0</youtube> | ||
+ | <b>The Age of Machine Learning Politics | Brett Horvath | ||
+ | </b><br>Ignite Talks is a fast-paced geek event started in 2006 by Brady Forrest and Bre Pettis. Since the first Ignite took place in Seattle around 10 years ago, Ignite has become an international phenomenon, with Ignite events produced in Helsinki, Tunisia, Paris, New York City and over 350 other locations in between. | ||
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+ | <youtube>7Um3iTU6KUQ</youtube> | ||
+ | <b>Deep Learning Lecture 9: Using [[Keras]] to Predict Political Parties (June 2019 update) | ||
+ | </b><br>We'll talk in more depth about how to use [[Keras]] with different kinds of classification problems, how to integrate [[Keras]] with [[Python#scikit-learn| scikit-learn]] and k-fold [[Cross-Validation]], and do an exercise where you predict the political parties of congressmen based only on their votes on 16 different issues. | ||
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Revision as of 19:17, 28 August 2020
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