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Regularization (physics)
Natural sciences
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Quantum field theory
Topics in quantum field theory
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Related lectures (12)
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Quantum Field Theory: Renormalization
Covers the concept of renormalization in quantum field theory, focusing on regularization and divergences removal.
Quantum Field Theory: Computing Loops
Covers the computation of loops in quantum field theory, focusing on dimensional regularization and Euclidean space.
Regularization in Machine Learning
Explores Ridge and Lasso Regression for regularization in machine learning models, emphasizing hyperparameter tuning and visualization of parameter coefficients.
Path Integral Representation of Propagators
Covers the path integral representation of propagators for free particles and harmonic oscillators.
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Trans-series in Quantum Field Theory: SVZ Approach and Applications
Discusses the SVZ sum rules and their application in quantum field theory, focusing on trans-series and non-perturbative corrections.
Gradient Descent
Covers the concept of gradient descent, a universal algorithm used to find the minimum of a function.
Linear Regression: Regularization
Covers linear regression, regularization, and probabilistic models in generating labels.
Feynman Rules I: Asymptotic Statistic and Instantons
Covers the Feynman Rules, Asymptotic Statistics, Normal Ordering, and Instantons.
