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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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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

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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

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May 24, 2022 Notes on InsurTech

3/n: Digital Health – Layers of the landscape

(Reading time ~ 8minutes) What are Digital health tools?  Collectively, these tools are transforming illness-protocol drive the Healthcare system into

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May 24, 2022 Notes on InsurTech

2/n: Digital Health? – Evolution and some ‘official’ definitions

This blog is part of a series of my learnings through the Digital Health and Imaging Certification program by IISc-Talent Sprint.  Summary

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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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