Applied program
Machine Learning Essentials
Practical machine learning for regulated financial services, with validation and explainability built in.
The program
What you or your team learns
What you walk away with.
- A working grasp of supervised and unsupervised methods
- The judgement to evaluate models and spot leakage or drift
- A clear read on validation results and what they actually mean
- Results you can explain and document for audit
1 to 2 days
Course outline
- 1Problem framing and data readiness
- 2Regression and tree-based models
- 3Cross-validation and backtesting
- 4Model monitoring and drift
- 5Documentation and model risk
- 6Privacy and fairness