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ACTEX eLearning Presents: ACTEX eLearning Webinar: Introduction to Predictive Analytics for Actuaries
Predictive Analytics is all the rage in the actuarial (and larger) world – but what is it? And how can actuaries use it and implement it?
In this webcast, viewers will be introduced to predictive analytics as applicable to actuarial work, and the world of insurance more generally.
There will be no formulas! The focus will be on what different techniques can do, as opposed to the mathematical underpinnings of the approaches. Some pros and cons of each technique will be explored.
Sampling of approaches to be covered:
- Regressions—linear, logistic, and generalized approaches
- Clustering
- Decision trees
- Support vector machines
Examples will be shown using an R environment, using publicly available data.
About Your Instructor
Mary Pat Campbell, FSA, MAAA, PRM
Mary Pat Campbell, is Vice President of Insurance Research at Conning in Hartford, Connecticut. In the past, she also taught courses on computing (Excel, Access, and VBA) and business writing for actuarial science students at the University of Connecticut. Mary Pat has had a long interest in spreadsheet best practices in actuarial work, writing for SOA publications on the topic since 2007. She has also spoken for SOA webcasts and at meetings on spreadsheet issues, such as at the 2015 SOA Annual Meeting: "Session 30: How to Keep Your Spreadsheets Out of the Headlines". Over the past two years, she has written a series of 5 articles on data visualization for CompAct, the newsletter of the SOA Technology Section. She is a member of the European Spreadsheet Risks Interest Group and on the SOA Modeling Section Council (2015 - 2018).
Who Should Attend:
Actuaries and non-actuaries who are interested in understanding the different approaches to predictive analytics. No prior knowledge of predictive analytics or the R language is assumed.
Important CPD Information:
Recorded ACTEX Webinars do not qualify for EA credit under the guidelines of the JBEA. ACTEX Webinars are strictly for educational purposes and cannot be submitted to attest for EA core or non-core credit.