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How we amplify privilege with supervised machine learning

Michael Williams uses sentiment analysis to show that supervised machine learning has the potential to amplify the voices of the most privileged people in society.

By Michael Williams June 23, 2016 • 1 minute read

Frank R. Paul's 1925 conception of what Nikola Tesla's wireless power transmission system might look like in the future. Frank R. Paul's 1925 conception of what Nikola Tesla's wireless power transmission system might look like in the future. (source: Wikimedia Commons)

Michael Williams will speak about unlocking unstructured text data with summarization at Strata + Hadoop World New York, September 27-29, 2016.

Williams has also authored a new O’Reilly Oriole Tutorial: Getting Started with Deep Learning using Keras and Python.”

Post topics: Perils of big data