Notes:
- class experience with Logistic Regression and ANNs
- background is mostly math and stats, not computational
- don't rely on Python or coding knowledge; do exercises as live demos
- focus on feature analysis and hyperparameter tuning
- visual analysis with YB a big help!
- for distributed computing, focus on high level computing issues, not mechanisms
- no need for a cluster or workshops on the distributed computing day
Other Notes:
- Classification Metrics II to follow (ROC/AUC, DecisionThreshold, PR Curves, Class Balance issues)