Polina Golland

Polina Golland is a professor of Electrical Engineering and Computer Science at MIT. She received her PhD from MIT and her Bachelor and Master’s degree from Technion, Israel. Her primary research interest is in developing novel algorithms for medical image analysis and understanding. She uses inference in her research to understand and characterize anatomical patterns with disease from large medical image collections. She also builds computational tools for image guided surgical planning and navigation.

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Computational Probability and Inference (edX)

Learn fundamentals of probabilistic analysis and inference. Build computer programs that reason with uncertainty and make predictions. Tackle machine learning problems, from recommending movies to spam filtering to robot navigation.