Continuing Education Reading List

Ethics & Professionalism

An Actuarial View of Correlation and Causation—From Interpretation to Practice to Implications
American Academy of Actuaries

Comments to the National Council of Insurance Legislators
Special Committee on Race in Insurance Underwriting
December 9, 2020

American Academy of Actuaries

Actuarial Standard of Practice No. 23: “Data Quality”
Actuarial Standards Board (ASB)

The Pitfalls of Pricing Algorithms
Marco Bertini and Oded Koenigsberg

Damned Lies & Statistics
Joel Best

Human Values in the Loop: Design Principles for Ethical AI
Deloitte

Right/Wrong: How Technology Transforms Our Ethics
Juan Enriquez

Big Data: A Tool for Inclusion or Exclusion? Understanding the Issues
FTC report

Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward
Samuele Lo Piano

Thinking in Systems: A Primer
Donella Meadows

Collective Illusions
Todd Rose

An Introduction to Data Ethics
Shannon Vallor

Data Management

MapReduce: Simplified Data Processing on Large Clusters
Jeffrey Dean and Sanjay Ghemawat

Docker for Data Science Projects: A Beginner – Friendly Introduction
Youssef Hosni

Tutorial: Building An Analytics Data Pipeline In Python
Vik Paruchuri

Visualizing Knowledge
PBL Netherlands Environmental Assessment Agency

MLOps: Building a Feature Store? Here are the top things to keep in mind
Pronojit Saha

Predictive Analytics/Modeling Techniques

Accelerated Failure Time Models: An Application in Insurance Attrition
Majeed Abdul-Fatawu

Credibility and Penalized Regression
Mattia Casotto, Marco Banterle, and Guillaume Beraud-Sudreau

XGBoost: A Scalable Tree Boosting System
Tianqui Chen and Carlos Guestrin

I do not Understand t-SNE – Part 1 and 2
Ankit Goyal

A brief history of papers looking at using neural networks in reserving
Kevin Kuo

Policy-Level Unreported Frequency Model for Pure IBNR Estimation
Drake David Landry, Steven Martin

Ultimate Loss Reserve Forecasting Using Bidirectional LSTMs
Lahiru H. Somaratne

A predictive modeling case study
Tidymodels

aggregate: Frequency-Severity Distributions Made Easy
Stephen Mildenhall

Statistical Learning with Sparsity
Hastie, Tibshirani, Wainwright

seaborn: statistical data visualization
Michael L. Waskom

Chain of Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, Denny Zhou

Industry Knowledge

Insurers are facing a one-two punch from inflation
David Mamane, Marlene Dailey

Projection of On-Road Liability Losses for Autonomous Driving
Tetteh Otuteye, Corey Rousseau, Rafael Costa, Jiayi Huang, John Xu

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