Real-Time Machine Learning with Node.js by Philipp Burckhardt, Carnegie Mellon University

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Real-Time Machine Learning with Node.js – Philipp Burckhardt, Carnegie Mellon University Real-time machine learning provides statistical methods to obtain actionable, immediate insights in settings where data becomes available in sequential order. After providing an overview of state of the art real-time machine learning algorithms, we discuss how these algorithms can […]

The Human Face of Big Data – Rewiring The World

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The massive gathering and analyzing of data in real time is allowing us to address some of humanity’s biggest challenges—pollution, world hunger, and illness—but as Edward Snowden and the release of NSA documents have shown, the accessibility of all this data comes at a steep price. http://bit.ly/2gboq5B CuriosityStream is the […]

Machine Learning Tetris

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This algorithm uses a reinforcement learning technique to learn how to play Tetris. It developed a policy on how to select the best action based upon four features of the board: aggregate height, unevenness, maximum height, and number of holes. It performed stochastic gradient ascent to achieve the highest score, […]