Actuaries get acquainted with likelihoods and Bayesian philosophy early in the subject CS1. Most actuarial problems estimate the financial consequences
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Tag: #machinelearning
Class 4 – ML Log: Pseudo-inverse estimator and Gradient Descent approaches to Linear Regression
The actuaries beginning to get acquainted with AI/ML find it a bit daunting. A couple of reasons for this. In day-to-day
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Class 3 – ML Log – Rigorous explanation of Supervised Learning Approach
Even though actuaries practice supervised learning, it feels disconnected from the emerging AI/ML field. Actuaries are trained to learn from data; it is
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Class 2 – ML Log – Learning Methods & Bayesian Decision insights
How do young actuaries get ready for the brave new data world? One sure way is to keep learning pace even after
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Class 1 – Machine Learning – An actuary’s learning log
Young actuaries often are overwhelmed by the established insurance domain practices by the time they pass the specialization subjects close to
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