At AI Actuary, our mission is to help actuaries without data science backgrounds to use AI tools and methods to grow to their careers.
AI and data science tools, documentation, and training resources have advanced rapidly over the last few years, but there is still a high demand for these training materials within actuarial science. The way that data scientists learned at AI and how I learned at first was not by reading a book but by doing lots and lots of examples. This is a different style than the usual actuarial study method of buying a single study manual and then reading it from front-to-back.
Read my first place submission to the SOA's Predictive Analytics Contest
“The Predictive Analytics and Futurism and Technology Sections invite you to participate in the inaugural “2019 Predictive Modeling, Innovation and Industry Contest.” Analytics are the future of insurance and this contest will recognize the best and brightest who can apply their skills to design an analytical solution that solves an insurance problem, submitted in a Jupyter Notebook.”