Training activity information
Details
Select, train and optimise an AI model on a healthcare dataset
Type
Developmental training activity (DTA)
Evidence requirements
Evidence the activity has been undertaken by the trainee​.
Reflection on the activity at one or more time points after the event including learning from the activity and/or areas of the trainees practice for development.
An action plan to implement learning and/or to address skills or knowledge gaps identified.
Considerations
- Feature engineering
- Feature selection methods
- Classification vs regression
- Supervised vs unsupervised machine learning techniques
- Use of appropriate algorithms
- Processing appropriate to data
- Feed-forward and backpropagation
- Optimisation
- Bias-variance tradeoff
- Best practice, sharing knowledge and output reproducibility
Relevant learning outcomes
| # | Outcome |
|---|---|
| # 10 |
Outcome
Design, develop, train and validate AI models using alphanumeric and imaging datasets. |