SOA Podcasts - Society of Actuaries
Science:Mathematics
Shea and Anders dive into tree-based algorithms, starting with the most fundamental variety, the single decision tree. We cover the mechanics of a decision tree and provide a comparison to linear models. A solid understanding of how a decision tree works is critical to fully grasp the nuances of the more powerful ensemble models, the Random Forest and Gradient Boosting Machine. In addition, single decision trees can still be useful either as a starting point for building more complex models or for situations where interpretability is paramount.
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
Emerging Topics Community: Return to Trees, Part 3: Random Forest
Health Section: Actuaries Discuss Dare to Lead by Brene Brown
Young Professional Advisory Council: Professionalism – The Code and Beyond
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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Breaking Math Podcast
Opinionated History of Mathematics
The Universe Speaks in Numbers
Casual Inference
The Magnificence of Mathematics