From Theory to Practice with Bayesian Neural Network, Using Python
<p>I have a master's degree in <strong>physics</strong> and work as an aerospace <strong>engineering</strong> 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 <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 <strong>neat, perfect, </strong>and <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>