Course 1: Linear Algebra for Machine Learning and Data Science Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence Apply ...

Rotations and linear transformations in 2D, 2x2 and 3x3 matrices, eigenvectors and eigenvalues. Newtonian mechanics: kinematics, plane polar coordinates, projectile motion, Newton’s laws, momentum, ...

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