Azure Data Scientist Associate [draft]
Azure Machine Learning HyperDrive Overview How HyperDrive Works HyperDrive Search Algorithms Model Interpretability Ensure version control and tracking all experiments for a team Increase Model Training Speed Effectively Manage Computational Resources Consume a large dataset stored in Azure Data Lake for Machine Learning model training Ensure Model does not exhibit bias based on feature Azure Machine Learning Designer Overview Missing required Python packages in Azure Machine Learning Designer Azure Monitor Application Insights Model Evaluation Methods Confusion Matrix Recall Precision Accuracy F1-Score ROC AUC Miscellaneous Model Deployment within Constrained Environment One-Hot Encoding Initial run with Minimal Resources Azure Blob Storage vs Azure Data Lake Storage Azure Machine Learning HyperDrive Overview HyperDrive in Azure Machine Learning is a tool used for hyperparameter tuning....