Actuaries get acquainted with likelihoods and Bayesian philosophy early in the subject CS1. Most actuarial problems estimate the financial consequences
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Personal Blog
I chose actuarial science as my second career, and every single day is happy living it. But the traditional actuary role model is fast evolving, along with the great digital disruption.
This is a collection of articles, my own learnings, and experiences as well as other things that a budding actuary will find useful.
Actuaries get acquainted with likelihoods and Bayesian philosophy early in the subject CS1. Most actuarial problems estimate the financial consequences
Continue readingThe actuaries beginning to get acquainted with AI/ML find it a bit daunting. A couple of reasons for this. In day-to-day
Continue readingEven though actuaries practice supervised learning, it feels disconnected from the emerging AI/ML field. Actuaries are trained to learn from data; it is
Continue readingHow do young actuaries get ready for the brave new data world? One sure way is to keep learning pace even after
Continue readingYoung actuaries often are overwhelmed by the established insurance domain practices by the time they pass the specialization subjects close to
Continue readingSummary (reading time: about 9 minutes): Actuaries are traditionally considered taciturn, but that is changing along with changing world What
Continue reading(Reading time: about 5 min) I had written about what next after actuarial qualification in the previous blog: AfterLife 1/4 –
Continue reading(Length: 1750 words; ~9 minutes) Summary: Qualification is only the beginning of a life-long journey! What kind of professional do
Continue readingSummary: Common challenges in answering exam questions: 1. How to remember such a vast and verbose syllabus 2. How to
Continue reading(Originally posted on LinkedIn – July 2018 – updated with minor edits) Since I began my second career as an
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