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Overview and Practical Applications of Machine Learning Methods in Pricing - Part 2

2020 Webinar - Overview and Practical Applications of Machine Learning Methods in Pricing - Part 2 - February 27

The term “machine learning” covers a range of methods that can be powerful, with very practical benefits, in pricing and other insurance applications. Such methods can aid in further improving GLM results or more broadly bring valuable insights to complex problems. There can also be a number of practical challenges in using these methods effectively. This is the first of two sessions reviewing a range of commonly used methods and illustrating different ways they are being applied in insurance, including some case study results. These sessions will focus on the high-level mechanics of each method and the benefits/challenges of their application – as opposed to the underlying technical details.