Actuary Exploring Beyond Risk

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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

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

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

June 29, 2022 Notes on InsurTech

6/n: Beyond DH innovations – What steer is needed?

Summary: (reading time: ~ 6 minutes) Tech developments that can influence Digital Health Health Apps Robotics 3D printing Nanotechnology Augmented

June 17, 2022 Notes on InsurTech

5/n: Healthcare sector transformation – Exhilarating future

Summary: This post covers (Reading time: ~10 minutes) HealthTech pioneers need to be on top of the rapid progress Even

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June 4, 2022 Notes on InsurTech

4/n: How digital innovation is transforming the Healthcare sector – Decade of advancement

Summary: This post summarizes the course learning about the recent technological developments involving the Healthcare, focussing on Imaging and Signal