This article aims to shed light to the highly discussed yet confounding topic in machine learning: hyperparameter tuning. Up to this point, hyperparameter tuning is mostly talked about as a means to get the "best" model, with little being discussed about the how, the what and the why. Building machine learning models like a black …

Continue reading Comparing Grid Search and Randomized Search for Hyperparameter Tuning