The Journey through Machine Learning: Statistical Physics, Probability Theory, and K-L Divergence

Overview discussion: Two important areas converge to form the heart and soul of advanced AI and machine learning algorithms: statistical mechanics and probability theory. The Kullbeck-Leibler (K-L) divergence uses ideas from probability theory. Several important applications of the K-L divergence are based on its reformulation into expressions that look a lot like the free energy equation from statistical mechanics. Combining these two is an almost alchemical and arcane experience, yet is essential to mastering the foundations of advanced machine learning methods.

Видео The Journey through Machine Learning: Statistical Physics, Probability Theory, and K-L Divergence канала Alianna J. Maren