Cheat Sheet for AWS ML Specialty Certification
Published in
9 min readAug 15, 2020
a highly important and carefully crafted piece, * this will only be useful after completing the entire course on Udemy
Udemy Course for AWS ML Specialty
Cheat Sheet
Reduce the cost of Automatic Hyperparameter tuning on SageMaker
- use log scales on parameter ranges
- less concurrent while tuning, cause it learns in different runs
- have the smallest range of hyperparameters
Recall is an important metric in situations where classifications are highly imbalanced, and the positive case is rare. Accuracy tends to be misleading in these cases.
- Ex: Fraud Detection