Exam ATPA – Advanced Topics in Predictive Analytics

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SOA (Society of Actuaries) の学習者向けの無料Exam ATPA – Advanced Topics in Predictive Analytics学習ノート。各章のリンクから、要点・例題・練習問題への導線にアクセスできます。

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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