Covers the basics of statistical field theory, focusing on Ising models and the Ginsburg-Landau theory.
Explores the scaling of free energy, Renormalization Group flow, Ising model, critical exponents, and scaling relations.
Introduces block spin renormalization and scaling variables in the Ising model, focusing on RG fixed points and critical exponents.
Explores renormalization, scaling, critical points, exponents, and phase transitions in conformal field theory and quantum gravity.
Covers unsupervised learning, dimensionality reduction, SVD, low-rank estimation, PCA, and Monte Carlo Markov Chains.
