Machine Learning Infrastructure, , Alexandra Johnson
Hyperparameter optimization (HPO) is a valuable tool for improving model performance, but it requires a lot of computational power so much that HPO experiments are often run on remote clusters. A requirement that data scientists become infrastructure experts just to manage model tuning infrastructure isn t feasible, so data science teams are turning to a variety of tools to help bridge the gap between the model builders and the infrastructure. This talk will provide an overview of machine learning infras
|
|