Exam 8 - Databricks Certified Machine Learning Associate
Featuring 50 questions and unlimited attempts! Test your knowledge on performing random search, grid search, or Bayesian search for tuning hyperparameters, parallelizing single-node models for hyperparameter tuning, understanding the benefits and downsides of using cross-validation over a train-validation split, performing cross-validation as part of model fitting, and identifying the number of models being trained through grid search and cross-validation.
This course includes.
Curriculum & lectures.
+ Exam 5 lectures
Ready to start building?
Featuring 50 questions and unlimited attempts! Test your knowledge on performing random search, grid search, or Bayesian search for tuning hyperparameters, parallelizing single-node models for hyperparameter tuning, understanding the benefits and downsides of using cross-validation over a train-validation split, performing cross-validation as part of model fitting, and identifying the number of models being trained through grid search and cross-validation.