Bayesian Optimization: A step by step approach

<p>Optimizing a function is super important in many of the real life analytics use cases. By optimization we mean, either find an maximum or minimum of the target function with a certain set of parameter combination. Finding out that min or max value as well as the parameters should be the objective. In this article, we will discuss about basics of optimizing an unknown costly function with Bayesian approach.</p> <h2>Costly Blackbox Function Optimization &mdash; Calculus</h2> <p>From basic calculus we know that to find an max or min value of a function we need to solve the derivative equation for x like below:</p> <p><a href="https://towardsdatascience.com/bayesian-optimization-a-step-by-step-approach-a1cb678dd2ec"><strong>Click Here</strong></a></p>