Covers the basics of tensors, including their definition, properties, and decomposition, starting with a motivating example involving Gaussian distributions.
Covers the basics of linear algebra, including solving equations and understanding systems of linear equations graphically.
Covers the basics of linear algebra, including rank, differentiable applications, and submersions.
Explores linear algebra fundamentals, including key definitions, theorems, and practical applications in mathematics and technology.
Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.
