Learn about parton distribution functions through Neural Tangent Kernel (NTK) analysis in this 26-minute physics lecture. Explore the theoretical framework connecting machine learning techniques with particle physics, specifically examining how NTK methods can be applied to understand parton distributions in quantum chromodynamics. Discover the mathematical foundations underlying this interdisciplinary approach and gain insights into how modern computational tools from machine learning are being leveraged to advance our understanding of fundamental particle interactions and structure functions.