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ACTEX eLearning Webinar: Introduction to Predictive Analytics for Actuaries [On-Demand]
Author: Campbell
Availability: In-Stock
Publisher: ACTEX
Intro to Predictive Analytics for Actuaries [1-2 participants & 1 connection] [On-Demand] - $69.00
Intro to Predictive Analytics for Actuaries [3-9 participants & 1 connection] [On-Demand] - $199.00
Intro to Predictive Analytics for Actuaries [10+ participants & 1 connection] [On-Demand] - $289.00
Intro to Predictive Analytics for Actuaries [10+ participants & Multi-connection] [On-Demand] - $499.00

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ACTEX eLearning Presents:

ACTEX eLearning Webinar:
Introduction to Predictive Analytics for Actuaries

Co-Sponsored by the Canadian Institute of Actuaries

1.8 SOA/EA CPD, CAS CE Credits/Training Hours
This is a potential source of 1.5 hours of CPD for the Canadian Institute of Actuaries

All prices are in USD

 

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.

Instructor Mary Pat Campbell, FSA, MAAA, PRM, is Vice President, Insurance Research at Conning in Hartford, Connecticut. She also teaches 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-standing interest in modeling techniques, having worked on models covering molecular physics, neuroscience, finance, population studies, signal processing, statistics, information retrieval, electronic logic games, and, of course, actuarial models. Mary Pat Campbell is a founding member of the SOA Modeling Session and is co-editor of its newsletter, The Modeling Platform. 

Mary Pat wrote "Getting Started in Predictive Analytics: Books and Courses" in the December 2015 issue of the Predictive Analytics and Futurism newsletter (link: Click HERE) and presented at the 2016 Life and Annuity Symposium: Session 16 -- Predictive Analytics, Where Do I Even Start?

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.


Corporate Customers:
ACTEX will provide a self-registration site and activation key for your participants. The first 100 will be enrolled in this webinar. This makes it easy to offer continuing professional development opportunities without the need for administrative attention.

Pricing:
The registration fee includes 180-day unlimited on-demand access to this event and the handouts.
All prices are in USD.

Please Note:  
Participants must agree to the ACTEXeLearning.com Site Policy in order to access this webinar.

EA Credit Information:

The Joint Board for the Enrollment of Actuaries (JBEA) has approved ACTEX as a qualifying sponsor of continuing professional education (CPE) programs for enrolled actuaries.

ACTEX believes in good faith that you may earn continuing professional education (CPE) non-core non-ethics credits under the Joint Board for the Enrollment of Actuaries (JBEA) rules for attending this webinar. The JBEA makes the final determination about what constitutes core, non-core, ethics, or non-ethics CPE and the number of CPE credit hours allocated.

What is the difference between 10+ participants & 1-connection and 10+ participants & Multi-connection?

'Connection' refers to how many participants will access our Webinar by signing-in at ACTEXeLearning.com.

Customers who have purchased a 1-connection option will have the purchaser sign-in and share the video on their monitor (or via video-conference, Skype or other video sharing format) with up to the number of participants purchased for. Username and password information is not to be shared with the other participants. 

Customers who have purchased our Multi-connection option will be sent login information and an access key. Each participant will then be able to login on their own computer, with their own username & password, at their own convenience.

Note:  

  • Access information is sent to the email address listed under Shipping Information on your order.
  • If you have 8+ participants needing their own access you should select our Multi-connection option for the best value.
  • All registrations include 180-day unlimited on-demand access to the Webinar and the handouts.

Discount for Full-Time Students:
Students with current enrollment as a full-time student at any college/university are eligible for a 50% discount off ACTEX Webinar 1-2 participant options. In order to access this discount, please email proof of enrollment using your college/university e-mail address to Support@ActexMadRiver.com. Examples of enrollment proof would be a copy of your registration information, or an unofficial transcript.

Discount for Active Military Personnel:
Active U.S. Military personnel are eligible for a 50% discount off ACTEX Webinar 1-2 participant options. In order to access this discount, please email us at Support@ActexMadRiver.com from your military email address.

Discount for Educators:
Faculty members of any accredited higher-education institution are eligible for a 50% discount off ACTEX Webinars. In order to access this discount, please contact us via email at Support@ActexMadRiver.com using your college/university e-mail address.

Discount for Regulatory Actuaries:
Regulatory Actuaries (Regulators) are eligible for a 30% discount off ACTEX Webinars. In order to access this discount, please contact us via email at Support@ActexMadRiver.com using your government e-mail address.