I’m Ryan Sloan, I build applied AI/ML systems to solve messy problems. Full Rank is my consultancy helping small teams tackle data challenges. This blog is where I write about the practice of applied AI/ML: evaluation, model selection, agent architecture, and what works on real data.
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Why “Full Rank”?
In linear algebra, a matrix with full rank is a special kind of matrix that always has a unique solution. Think of it as a maximum information-density matrix: all signal, no noise. Isn’t linear algebra the best?
