Gaussian processes are common surrogate models in Bayesian optimization used to do hyperparameter optimization. Genetic algorithms[edit] Learners may disappoint by "learning the wrong lesson". A toy example is always that a picture classifier experienced only on images of brown horses and black cats could conclude that every one brown patches https://ai-business-consulting18383.blog5star.com/28124093/the-definitive-guide-to-ai-integration