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Tag: #machinelearning

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August 22, 2022 Future Actuaries' Corner

Class 5 & 6 – ML Log – Likelihoods and Bayesian Philosophy in Machine Learning

Actuaries get acquainted with likelihoods and Bayesian philosophy early in the subject CS1. Most actuarial problems estimate the financial consequences

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August 6, 2022 Future Actuaries' Corner

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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July 31, 2022 Future Actuaries' Corner

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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July 25, 2022 Future Actuaries' Corner

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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July 10, 2022 Future Actuaries' Corner

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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Recent Posts

  • Class 5 & 6 – ML Log – Likelihoods and Bayesian Philosophy in Machine Learning
  • Class 4 – ML Log: Pseudo-inverse estimator and Gradient Descent approaches to Linear Regression
  • Class 3 – ML Log – Rigorous explanation of Supervised Learning Approach
  • Class 2 – ML Log – Learning Methods & Bayesian Decision insights
  • Class 1 – Machine Learning – An actuary’s learning log

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