End-to-End Vector: Lecture 4

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Page 2 of 3

Introduces vector definitions, displacement, addition, and applications in geometry.

Covers linear transformations using matrices, focusing on linearity, image, and kernel.

Covers the basics of General Physics, focusing on Mechanics SV and key mathematical concepts.

Covers the multivariate normal distribution, properties, and sampling methods.

Explains surface normals for parametric and implicit surfaces, focusing on vector analysis and examples with spheres.

Covers essential concepts of vectors, norms, and their properties in linear algebra.

Explores counter examples and proofs in vectorial spaces, emphasizing rigorous reasoning.

Explores principal components, covariance, correlation, choice, and applications in data analysis.

Covers variational representation and information measures such as entropy and mutual information.

Covers advanced physics topics such as definitions, rectilinear motion, vectors, and motion in three dimensions.