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 OpenCourseWareStudent age
10years · 5th grade
Lectures
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