Gaussian Processes for Bayesian Hyperparameter Tuning Posted on November 26, 2021December 6, 2021 by MLNerds Grid search is often very expensive for hyper-parameter tuning and a bottleneck in ML pipelines. This brief video explains the Bayesian hyper-parameter optimization technique with Gaussian processes in a simple and succinct way. Click here for the python code to get started
