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This paper explores the necessity and possibilities of applying machine learning techniques in actuarial analysis and provides guidelines for incorporating these techniques into pricing applications. Advances in technology and increasingly accessible platforms are making it easier to apply machine learning to pricing processes. Although complex algorithms might seem to conflict with the need for transparency and judgment in actuarial and pricing practices, these concepts can be highly complementary when machine learning is implemented correctly
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