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Learning about explainable AI (XAI)
πŸ‘©β€πŸ’»
Learning about explainable AI (XAI)

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h-fuzzy-logic/README.md

Hi, y'all πŸ‘‹

  • πŸ”­ I’m currently working on detecting bias in Artificial Intelligence (AI)
  • 🌱 I’m currently learning about supporting genomics research with cloud technologies
  • πŸ‘― I’m looking to collaborate on explainable AI (XAI) and AI safety
  • πŸ’¬ Ask me about how to find time to be a life-long learner while working full-time and being a caretaker
  • πŸ“« How to reach me: https://www.linkedin.com/in/heather-woods/
  • πŸ˜„ Pronouns: she/her
  • ⚑ Fun fact: I have been skydiving

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  1. technical-writing technical-writing Public

    Technical writing samples. Includes walkthroughs and tutorials around data engineering and cloud architectures.

    1

  2. data-analytics-spring data-analytics-spring Public

    Open data and cloud computing to answer the question: Are we losing our spring days?

    Jupyter Notebook

  3. python-windspeed python-windspeed Public

    Predicting windspeed from satellite images of tropical storms

    Jupyter Notebook 4 1

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

    AWS for Bioinformatics Researchers

    Jupyter Notebook 117 28

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

    Resources about explainability, fairness, and safety for AI

    1

  6. 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