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Types of Machine Learning 2

Steve Brunton
6 min
Beginner
Video
Theory

This lecture gives an overview of the main categories of machine learning, including supervised, un-supervised, and semi-supervised techniques, depending on the availability of expert labels...

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MIT 6.S191: Introduction to Deep Learning

Alexander Amini, MIT
Beginner
Video
Theory

MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep...

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Stability of Closed Loop Control Systems

Brian Douglas
11 min
Beginner
Video
Theory

This video explains why we need design tools like the Routh-Hurwitz Criterion, Bode Plots, Nyquist Plots, and Root Locus. This is an introduction into the difficulties of determining the...

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Control Bootcamp: Full-State Estimation

Steve Brunton
11 min
Beginner
Video
Theory

This video describes full-state estimation. An estimator dynamical system is constructed, and it is shown that the estimate converges to the true state. Further, the eigenvalues of the...

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Unitary Transformations

Steve Brunton
12 min
Beginner
Video
Theory

This video discusses unitary matrix transformations and how they relate to the geometry of the singular value decomposition (SVD).

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