Data Science and Machine Learning in Insurance
A gentle introduction for actuaries

Area 13 – Scienze economiche e statistiche

This book represents one of the first attempts to bridge between data science and actuarial practice in a systematic way. Its structure recalls that of many data science guides, starting from a general introduction to the topic, passing through unsupervised and supervised techniques. In parallel, the author leverages relevant insurance applications to describe the main machine learning algorithms. Those applications involve some of the most interesting problems in the industry such as customer management, claim reserving and policyholder behaviour. This provides the reader with effective ideas to apply machine learning in insurance from day one, demonstrating the potential increase in accuracy against traditional regression methods. The final result is a brief data science manual tailored to insurance practitioners and actuaries.

SINTESI