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Learning about explainable AI (XAI)
👩‍💻
Learning about explainable AI (XAI)
10 followers · 2 following

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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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h-fuzzy-logic/README.md

Hi, y'all 👋

I'm a lifelong learner currently working on interpretable machine learning with Python and curating resources about AI explainability, fairness, and safety.

My current focus:

  • Building safer and trustworthy AI and ML systems
  • Donating time to tech-for-good causes like accelerating genomics research with cloud technologies and responsible AI practices
  • Using Cursor and GitHub Copilot to offload boilerplate and syntax, keeping my focus on system architecture and problems that AI assistants are not good at solving

I'm always happy to talk about and collaborate on:

  • making black-box models more trustworthy
  • efficiently incorporating AI coding assistants into your development workflow
  • finding time to keep learning while juggling a full-time job and caregiving responsibilities

📫 Reach me on LinkedIn

😄 Pronouns: she/her

⚡ Fun fact: I've been skydiving

Recent talks

Advance Your Career: 6 Tips for Strategic Learning

📅 Presented January 7, 2025

📍 Women In Big Data Bay Area Chapter Meetup, Virtual

🔗 (Requires meetup.com account) Event Details

Explainable AI: How Software and Data Teams Can Get Started

📅 Presented November 6, 2024

📍 Tusculum University, Greeneville, TN

🔗 Event Details

Explainable AI: How Software and Data Teams Can Get Started

📅 Presented August 13, 2024

📍 TriDev Meetup, Johnson City, TN

🔗 (Requires meetup.com account) Event Details

Pinned Loading

  1. code-with-context code-with-context Public

    Repository for associated YouTube Channel "Code with Context"

  2. prompt-like-an-architect prompt-like-an-architect Public

    Master the art of architectural thinking with AI coding assistants through real-world examples and proven techniques

    1

  3. Interpretable-Machine-Learning-with-Python-2E Interpretable-Machine-Learning-with-Python-2E Public

    Forked from PacktPublishing/Interpretable-Machine-Learning-with-Python-2E

    Interpretable ML with Python, 2E - published by Packt

    Jupyter Notebook

  4. hello-penguins hello-penguins Public

    Machine learning experiments with the Palmer Penguins dataset

    Python

  5. lynnlangit/aws-for-bioinformatics lynnlangit/aws-for-bioinformatics Public

    AWS for Bioinformatics Researchers

    Jupyter Notebook 183 41

  6. explainability-fairness-safety-for-ai explainability-fairness-safety-for-ai Public

    Resources to improve the explainability, fairness, and safety of your AI

    3 1