I’m a Field Note#0001 Machine learning (ML) is a subfield of artificial intelligence (AI) concerned with enabling computers to learn how to solve a given problem without being explicitly taught. More on ML basics here. View TopicField Note#0002 ML observability analysts work to understand and improve how ML models behave and perform in real-world environments. More about ML observability hereView Topic, Field Note#0003 Technical writers write documentation and other materials to help people understand complex technical topics. This essay is a good primer on tech writing: What is technical writing?View Topic, and Field Note#0004 Knowledge management (KM) is a discipline concerned with ensuring that people have access to the information they need - a knowledge system is just a system in support of that idea. Read the KMWorld primer on KM hereView Topic.
This small corner of the internet is where I experiment with AI, KM, and much else: here you’ll find my notes, projects, and (inevitably) open questions.
Dispatches: Longer-form blog posts; some technical, some not.
Experiments: Experiments, scripts, and active projects.
Topics: All the concepts mapped into topic pages (and powered behind the scenes by a knowledge graph).
I use AI to help me build this site and manage some of its contents. Content that is AI-assisted is always marked as such throughout. More on how I use AI on this page.
Thoughts, questions, or just want to say hello? Email me here.