Notes on AI (notesonai.com)

Paras Dahal has published "Notes on AI," an evolving, interconnected library of foundational ideas and concepts in machine learning and AI (updated Aug 7, 2025). The site organizes material into modular notes you can navigate via a sidebar, an interactive concept graph, or a search box, letting users jump between definitions, algorithms, architectures, and underlying math. It’s positioned as a living reference rather than a one-off tutorial, designed to grow and interlink ideas rather than present them as isolated articles. For the AI/ML community this matters because it tackles a common pain point: fractured, siloed explanations across papers, blogs, and courses. The interactive graph implies an underlying knowledge‑graph structure that highlights dependencies (prerequisite concepts, algorithmic variants, theoretical assumptions), which accelerates learning, curriculum design, and quick concept lookup. Technically, the format supports semantic navigation and could enable tool integration (e.g., programmatic queries, citation linking, or embedding in teaching pipelines). In short, Notes on AI is a compact, browsable knowledge base aimed at helping practitioners, students, and researchers build coherent mental models and find connections between algorithms, proofs, and applications.