Lectures related to 100 | EPFL Graph Search

Covers the basics of linear regression, focusing on estimation and prediction.

Delves into unitary operators, self-adjoint properties, and spectral theorems in linear algebra.

Introduces proximal operators and conditional gradient methods for composite convex minimization problems in data optimization.

Covers the theoretical background and applications of the 3-state Ising model.

Covers various operator operations and their applications in different contexts.

Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.

Explores Goldstone bosons and the Higgs mechanism, revealing how spontaneous symmetry breaking generates mass for gauge bosons.