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projects of trustworthy AI in action.
Resources for software and data teams that don't want to tell their legal team "The AI did it."
A curated collection of resources about making AI explainable, fair, and trustworthy. Learn how these fuzzy topics impact your tech ecosystem, whether you are building, buying, or integrating AI enabled products. And also learn about tools and frameworks to help you assess and mitigate the risks.
An end-to-end data analytics project
This project combines some of my favorite technologies - open data, cloud computing, and Jupyter notebooks. All to answer the question "Are milder spring temperatures being replaced by hotter ones?" #openscience
One concrete way to explain the fuzzy concept of caring for data
I often get puzzled looks when I say that I work as a data engineer. Here's one way to think about the value a data engineer adds: clean data is as valuable as clean drinking water.
Data engineering techniques can help your project get more value out of your data faster
When facing big data, cloud data engineering techniques save time and money by pinpointing useful data among billions of observations.