Understanding Machine Learning Paradigms through the Lens of Statistical
Thermodynamics: A tutorial
Understanding Machine Learning Paradigms through the Lens of Statistical
Thermodynamics: A tutorial
This tutorial investigates the convergence of statistical mechanics and learning theory, elucidating the potential enhancements in machine learning methodologies through the integration of foundational principles from physics. The tutorial delves into advanced techniques like entropy, free energy, and variational inference which are utilized in machine learning, illustrating their significant contributions …