From Theory to Practice with Bayesian Neural Network, Using Python

I have a master's degree in physics and work as an aerospace engineering researcher. Physics and engineering are two distinct sciences that share a desire to understand nature and the ability to model it. The approach of a physicist is more theoretical. The physicist looks at the world and tries to model it in the most accurate way possible. The reality that a physicist models is imperfect and has approximations, but once we consider these imperfections the reality becomes neat, perfect, and elegant.