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Related lectures (27)

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Support Vector Machine: Primal Formulation with Hard Margin

Covers the Support Vector Machine with a hard margin formulation and the importance of maximizing the margin between classes.

Geometric Properties of Dot Product

Covers the geometric properties of the dot product and its algebraic aspects.

Vectors: Dot Product

Covers the dot product between vectors and orthogonal projections.

Kernel Methods: Efficient Dot Product Computation

Demonstrates efficient dot product computation and introduces nonlinear boundaries in the original space.

Physics 1: Vectors and Dot Product

Covers the properties of vectors, including commutativity, distributivity, and linearity.

Metric Tensor: Definition

Explores the definition and properties of the metric tensor, enabling control of geometric quantities and lengths.

Second Fundamental Tensor

Explores the second fundamental tensor and its role in calculating normal curvature on surfaces.

Vector Representation of Signals

Explores the vector representation of signals, orthogonal functions, and Fourier series.

Dot Product: Definition and Geometric Interpretation

Explains the dot product of vectors and its geometric interpretation as signed volume.

Projectile Motion: Equations and Examples

Explains projectile motion equations and examples, covering vectorial equations, scalar and vector quantities, Newton's laws, and gravitational forces.