SOA Podcasts - Society of Actuaries
Science:Mathematics
Building on the discussion of individual decision trees in the prior episode, Shea and Anders shift to one of today’s most popular ensemble models, the Random Forest. At first glance, the algorithm may seem like a brute force approach of simply running hundreds or thousands of decision trees, but it leverages the concept of “bagging” to avoid overfitting and attempt to learn as much as possible from the entire data sets, not just a few key features. We close by covering strengths and weaknesses of this model and providing some real-life examples.
Emerging Topics Community: Return to Trees, Part 4: Gradient Boosting Machines
The Actuarial Foundation: Math Competitions - Developing Mathletes
Health Section: Calculated Risk
Young Professional Advisory Council: Unique Actuarial Career Journeys: Not All Paths to Becoming an Actuary are Linear
Actuary of the Future: Launching Your Actuarial Career: Frank Yeager
Health Section: Leadership Series: Tim Rozar
Product Development Section: Promises and Risks of Emerging Data in Insurance
Health Section: Actuaries Discuss Dare to Lead by Brene Brown
Young Professional Advisory Council: Professionalism – The Code and Beyond
Emerging Topics Community: Return to Trees, Part 2: Single Decision Trees
Health Section: Great Unwinding
Health Section: Neurofeedback: A Potential Game Changer for Mental Healthcare?
Financial Reporting Section: Demystifying Regulatory Bodies and Rating Agencies (Part 1): AM Best
Actuary of the Future: Launching Your Actuarial Career: Jim Cristallo
Long Term Care Section: Update on Public LTC Financing Exploration in California
Emerging Topics Community: Return to Trees, Part 1: Overview of Tree-Based Algorithms
Young Professional Advisory Council: From Career Crossroads to Volunteering: A Non-Traditional Actuarial Odyssey
Health Section: Critical Illness: Past, Present & Future
The Actuarial Foundation’s Impact: Celebrating our 30th Anniversary
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The Universe Speaks in Numbers
Breaking Math Podcast
Casual Inference
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