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Cartesian Faith

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Cartesian Faith

Author Archives: Brian Lee Yung Rowe

Wallets as a reward and penalty mechanism for online behavior

December 6, 2022

I’m creating an AI moderator for social media using reinforcement learning (RL). My goal is to reduce toxicity/outrage and increase …

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Simulating Twitter users with reinforcement learning

October 10, 2022

I’m creating an AI moderator for social media using reinforcement learning. The goal is to reduce toxicity/outrage and increase civility …

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Lies, damned lies, and rankings: the problem with Bloomberg’s COVID resilience ranking

November 8, 2021

Every ranking creates winners and losers. In the case of Bloomberg’s Covid Resilience Ranking, the Philippines is a loser: dead …

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Slides for “Achieving Practical Reproducibility with Transparency and Accessibility” (DSSV 2020)

July 30, 2020

I was invited to speak at the ASA’s Symposium on Data Science and Statistics as well as the SAMSI/IASC conference …

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Request for comments on planned features for futile.logger 1.5

December 15, 2018

I will be pushing a new version of futile.logger (version 1.5) to CRAN in January. This version introduces a number …

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Preview my new book: Introduction to Reproducible Science in R

November 12, 2018

I’m pleased to share Part I of my new book “Introduction to Reproducible Science in R“. The purpose of this …

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Introducing the AI Workplace

November 4, 2018

My startup, Pez.AI, is launching a publication on Medium called the AI Workplace. We’re exploring a radically different way of …

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How to call bullshit on AI companies (aka a short lesson on recall)

April 10, 2018

Now that software ate the world, what’s for dessert? Those in the know know that it’s AI. It seems everyone …

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Data-driven unit testing for data scientists and quant developers alike

March 12, 2018

Often overlooked, testing is a critical process that saves time over the long term and enables building complex systems. Unit …

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Fermi Poker – Gambling for quants and data scientists

June 4, 2017

Fermi problems are well known for honing your ability to estimate quantities that are difficult (or impossible) to measure. Named …

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