Loss Data Analytics
Edward Frees (for the Actuarial Community)

TL;DR
Loss Data Analytics is an online educational resource that combines classical loss data models with modern analytics, featuring interactive tools and multilingual access to enhance understanding of big data in insurance.
Contribution
It introduces an interactive online platform integrating traditional loss data models with modern analytics tools for education and research.
Findings
Provides interactive quizzes and demonstrations
Accessible in multiple languages
Bridges classical models with big data analytics
Abstract
Loss Data Analytics is an interactive, online, freely available text. The idea behind the name Loss Data Analytics is to integrate classical loss data models from applied probability with modern analytic tools. In particular, we seek to recognize that big data (including social media and usage based insurance) are here and high speed computation is readily available. The online version contains many interactive objects (quizzes, computer demonstrations, interactive graphs, video, and the like) to promote deeper learning. A subset of the book is available for offline reading in pdf and EPUB formats. The online text will be available in multiple languages to promote access to a worldwide audience.
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Insurance and Financial Risk Management
