Learn from the past: How does Supervised machine learning work?
- Validating a Credit-risk machine learning model: A case study illustrating a model validation of a credit risk model involving machine learning
- Working with Regression, Neural Networks, and Random Forest models
- Development models vs Production models
- Sample templates and worksheets will be provided
- Roadmap for the MRM team to upskill and keep abreast of changes in the AI and ML landscape
- Training, education, and expectation setting - Future outlook: Regulation, Sandboxes, Frameworks
- Review of recent regulatory efforts
- How should companies proactively plan for changes and the future?
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