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Exam ATPA – Advanced Topics in Predictive Analytics
4 sections available · 22 chapters available
Free Exam ATPA – Advanced Topics in Predictive Analytics study notes for SOA (Society of Actuaries) students. Each chapter breaks down a key concept with examples and practice prompts you can turn into AI drills in the thinka app.
Ethical Foundations
A general ethical framework for working with data and models
Relevant standards of practice
Relevant regulations for working with data and models
Working with Data
The structure of a data pipeline
Database management and ETL operations
Assessing the accuracy and quality of data
Relational databases and merging data from multiple sources
Cleaning and organizing data: outliers and missing data
Detecting biases introduced when preparing data
Advanced Predictive Analytics Models
The importance of model accuracy
Additive models, linear mixed models, and neural networks
Bayesian techniques for predictive models
Comparing results with linear and tree-based methods
Combining models via stacking and blending
Selecting and justifying a modeling approach
Mitigating overfitting, repeated data use, and model bias
Model Explainability and Communication
Aspects of explainability
Communicating and justifying an analytics solution
Explaining why a model predicts certain values
Data and model governance and documentation
Communicating clearly for the intended audience
Structuring a report per actuarial communication standards
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