From Theory to Practice with Bayesian Neural Network, Using Python

<p>I have a master&#39;s degree in&nbsp;<strong>physics</strong>&nbsp;and work as an aerospace&nbsp;<strong>engineering</strong>&nbsp;researcher.</p> <p>Physics and engineering are two distinct sciences that share a desire to understand nature and the ability to model it.</p> <p>The approach of a physicist is more&nbsp;<strong>theoretical</strong>. 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&nbsp;<strong>neat, perfect,&nbsp;</strong>and&nbsp;<strong>elegant.</strong></p> <p><a href="https://towardsdatascience.com/from-theory-to-practice-with-bayesian-neural-network-using-python-9262b611b825"><strong>Website</strong></a></p>
Tags: Neural Network