Lectures related to Deep Learning: No Free Lunch Theorem and Inductive Bias

Covers transport in living systems, protein aggregation, and the physics of biological systems.

Explores optimization problems, feasible regions, and objective functions with a focus on Lagrange multipliers and convexity.

Covers feature expansion, kernels, SVM, and nonlinear classification in machine learning.