Lectures related to Linear Algebra: Linear Transformations and Matrices

Covers vector operations, properties of linearity, and mixed product calculations.

Explores generalisations of functions and the concept of gradients in advanced analysis.

Explores Kernel Ridge Regression, the Representer Theorem, and the Kernel Trick in machine learning.

Covers the basics of mathematics and its applications in architecture.

Covers the properties of finite dimensional algebras and non-semisimple representations.

Covers the definition and properties of differentiable functions, focusing on differentiability, limits, continuity, and partial derivatives.