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Forecasting macroeconomic variables is key to developing a view on a country's economic outlook. Most traditional forecasting models rely on fitting data to a pre-specified relationship between input ...
MA Curatorial Practice at the School of Visual Arts in New York City presents a discussion with Caroline A. Jones, professor of history, theory, and criticism in the department of architecture, MIT.
When the machine-learning algorithm combines the various kinds of metadata in its decisions, it can spot some 90 percent of cables that are classified, with a false positive rate of just 11 percent.
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