Building explainable machine learning algorithms

December 26, 2022: FDA and Algorithm Regulation

December 26, 2022: Other USA Government Agencies and Algorithm Regulation

January 31, 2022: Step by Step Guide to Creating Trust Scores (twenty-minute read)

November 18, 2021: Theoretical Trust Scores for Classification Models (five-minute read)

October 28, 2021: Deep k-Nearest Neighbors Confidence and Credibility Scores (fifteen-minute read)

November 2, 2021: Math Equations for Deep k-Nearest Neighbors’ Confidence and Credibility Scores (five-minute read)


Creating ethical algorithms when confronted with real world challenges

December 19, 2021: Week-long teachable unit about creating ethical machine learning algorithms
This unit contains one lab, two lectures, two groupwork worksheets, and assigned readings from foundational academic research in this field. By the end of the unit, students will be able to define algorithms’ fairness goals and conduct mathematical analysis in R and Python to consider the trustworthiness of many common machine learning outputs.

November 21, 2021: Wikipedia draft about Kristian Lum, statistician and algorithm bias researcher (five-minute read)

October 18, 2021: Preprocessing k-means and k-medians can reduce unintended segregation in each cluster (five-minute read)

October 11, 2021: How biased data can create a biased algorithm (and prevention methods) (five-minute read)

October 4, 2021: Ways algorithms can uphold and fail a variety of fairness definitions (five-minute read)


Microeconomics of individuals’ personal data:

May 7, 2021: Target should just press ‘delete’ (five-minute read)

March 7, 2021: Should corporations pay you for using your data in their algorithms? (five-minute read)

March 4, 2021: Check your blind spot. (five-minute read)

March 4, 2021: I read the fine print. (five-minute read)


Projects:

Week-long teachable unit about creating ethical machine learning algorithms

Chat about RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models (fifteen-minute read)

Reflection: Graphs on U.S. Colleges’ Fall 2020 Plans (two-minute read)

Colleges’ household income, acceptance rate, and plans for fall 2020

Trying to predict what my college would do in fall 2020 based on about 1000 other college’s fall 2020 plan announcements

LGBTQ support in the United States with extra focus on the south (fifteen-minute read)

DIY GRE prep flashcards using Java

Quick redesign of an Economist graph


Social media:

Github

LinkedIn

Professional Twitter