Bayesian optimization: Definition and operation
To define a predictive model, data scientists rely on multiple observations. However, while studying these observations leads to an optimal outcome, data experts often have limited time to analyze all the hypotheses. So how do you find the right model in the least amount of time? This is where Bayesian optimization comes in. What is […]
