Become a 10x Software Engineer with Bayesian Thinking

<p>Bayesian thinking is extremely powerful when it comes to software engineering.</p> <p>At its core Bayes Theorem is a way of updating our beliefs about the world with new knowledge that we gain. Bayes&rsquo; Theorem is extremely powerful because it allows us to use the additional specific information we have about a sample rather than being forced to resort to general population-level statistics. This can be critical in sorting through the heaps of additional information that we receive to prioritize the right decisions.</p> <p>This can be especially important for becoming effective software engineers. Because of how quickly things change, a developer working on a normal-sized project has a myriad of decisions to make. At a point you can-</p> <ol> <li>Add a new feature.</li> <li>Refactor existing code.</li> <li>Made changes to existing pipelines.</li> <li>Work on integrating an entirely new capability.</li> </ol> <p>and more. How can you quickly identify what&rsquo;s important and where you should put your energy? Answering this question well can be the key to great career success. Picking the wrong horse&hellip;&nbsp;<em>will teach you a lot.&nbsp;</em>Turns out that Bayesian thinking might provide a great benefit to software testing. In many ways, human thinking is naturally Bayesian, so you&rsquo;re likely already using some of this subconsciously. However, human thought is vulnerable to many logical fallacies. Explicitly training your Bayesian thinking will protect you from them (to a large degree).</p> <p><a href="https://machine-learning-made-simple.medium.com/become-a-10x-software-engineer-with-bayesian-thinking-220a8b065b16"><strong>Website</strong></a></p>