Covers the kinetic theory of gases and its application in evaporation physics, including Fick's Law of Diffusion and the Maxwell-Boltzmann distribution.
Delves into the fundamental limits of gradient-based learning on neural networks, covering topics such as binomial theorem, exponential series, and moment-generating functions.