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learning

  • by critical machine learning
  • 10 blocks • 20 days ago
ai-resources - Selection of resources to learn Artificial Intelligence / Machine Learning / Statistical Inference / Deep Learning / Reinforcement Learning

memo/ai-resources

Added by critical machine learning
Updated 6 months ago

ml4a is a collection of free educational resources devoted to machine learning for artists.

Machine Learning for Artists

Added by critical machine learning
Updated 6 months ago

Cambridge Analytica

  • by critical machine learning
  • 9 blocks • 23 days ago
The algorithm at the heart of the Facebook data breach sounds almost too dystopian to be real. It trawls through the most apparently trivial, throwaway postings -the "likes" users dole out as they browse the site - to gather sensitive personal information about sexual orientation, race, gender, even intelligence and childhood trauma.

How Cambridge Analytica turned Facebook...

Added by critical machine learning
Updated 2 months ago

critical thinking

  • by critical machine learning
  • 10 blocks • 2 months ago
Nick Seaver on what we mean when we critique "algorithms"

Algorithms as culture: Some tactics for...

Added by critical machine learning
Updated 5 months ago

January 7: Introduction to the course January 14: Media, mediation - Marshall McLuhan and Quentin Fiore, The Medium is the Massage (Bantam Books, 1967) - Sarah Kember and Joanna Zylinska, Life after New Media: Mediation as a Vital Process (Cambridge: MIT Press, 2012), xiii-28. - Alexander Galloway, "Love of the Middle," in Excommunication (U Chicago...

Schedule

Added by critical machine learning
Updated 6 months ago

prospects

  • by critical machine learning
  • 6 blocks • 2 months ago
Nothing sounds more futuristic than artificial intelligence (AI). Our predictions about the future of AI are largely shaped by science fiction. Go to any conference, skim any WIRED article, peruse any gallery of stock images depicting AI*, and you can't help but imagine AI as a disembodied cyberbabe (as in Spike Jonze's Her), a Tin Man (who...

The Temporality of Artificial...

Added by critical machine learning
Updated 3 months ago

data

  • by critical machine learning
  • 4 blocks • 4 months ago
Last Friday I attended a Data Visualization seminar by the Responsible Data Forum. I got a fascinatingly succinct introduction to the concerns of applying data visualization in a responsible way.

Crash Course in 'Responsible' Data...

Added by critical machine learning
Updated 4 months ago

In theory, statistics should help settle arguments. They ought to provide stable reference points that everyone - no matter what their politics - can agree on. Yet in recent years, divergent levels of trust in statistics has become one of the key schisms that have opened up in western liberal democracies.

How statistics lost their power - and...

Added by critical machine learning
Updated 6 months ago

There are growing discontinuities between the research practices of data science and established tools of research ethics regulation. Some of the core commitmen

Where are Human Subjects in Big Data...

Added by critical machine learning
Updated 6 months ago

In February of 2014, New York City Mayor Bill de Blasio announced the creation of IDNYC, a municipal identification card primarily designed to ease bureaucratic burdens for the city's immigrant population. When the card became available a year later, de Blasio described the program as "fraud-proof, secure and appealing to anyone."

What It Takes To Truly Delete Data

Added by critical machine learning
Updated 6 months ago

primers

  • by critical machine learning
  • 9 blocks • 6 months ago
"All models are wrong, but some are useful." So proclaimed statistician George Box 30 years ago, and he was right. But what choice did we have? Only models, from cosmological equations to theories of human behavior, seemed to be able to consistently, if imperfectly, explain the world around us. Until now.

The End of Theory: The Data Deluge...

Added by critical machine learning
Updated 6 months ago

black boxes

  • by critical machine learning
  • 17 blocks • 6 months ago
Mark Zuckerberg hasn't had the best week. First, Facebook's Free Basics platform was effectively banned in India. Then, a high-profile member of Facebook's board of directors, the venture capitalist Marc Andreessen, sounded off about the decision to his nearly half-a-million Twitter followers with a stunning comment.

Facebook and the New Colonialism

Added by critical machine learning
Updated 6 months ago

The controversy about the human curators behind Facebook Trends has grown, since the allegations made last week by Gizmodo. Besides being a major headache for Facebook, it has helped prod a growing discussion about the power of Facebook to shape the information we see and what we take to be most important.

Algorithms, clickworkers, and the...

Added by critical machine learning
Updated 6 months ago

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