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2.160Machines

Identification, Estimation, and Learning

Prof. Harry Asada · Spring 2006 · Graduate

This course provides a broad theoretical basis for system identification, estimation, and learning. Students will study least squares estimation and its convergence properties, Kalman filters, noise dynamics and…

Original on MIT OpenCourseWare

Student age

10years · 5th grade

Lectures

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