TheoremPath

TheoremPath is a focused study companion for machine learning theory: prerequisites, theorem statements, notes, review state, and saved progress on iPhone. Use it when you want a serious map of ML foundations without losing track of what comes before what. The app pairs the TheoremPath knowledge graph with a quiet mobile workflow for reading, saving, note taking, and progress review. What you can do: - Open Today to continue from your recent work - Browse the Atlas by topic and prerequisite path - Save topics for later reading - Add local notes while studying - Mark topics as complete - Track local mastery and due review state - View profile, account, and deletion controls The content spans probability, statistics, statistical learning theory, optimization, linear algebra, information theory, concentration inequalities, and reinforcement learning foundations. Topics include definitions, theorem statements, assumptions, examples, common mistakes, and prerequisite chains. The app is designed for learners who care about structure, proof context, and durable progress. This release keeps quiz and review execution server-driven. Local mastery and spaced-review state are used for mobile progress display and will stay aligned with the shared TheoremPath backend as the signed-in learning loop expands.