Decision Making

How machine learning actually works — from learning-as-optimization through the classical toolkit to deep learning and foundation models. The depth step after AI Fundamentals: real mechanics, no code or graduate math required.

Legal literacy — how law actually works. The trunk gives you the operating system: where law comes from, how courts and precedent work, contracts, torts, property, criminal vs civil, and constitutional structure. Clusters dive into reading cases, contract mechanics, IP, your rights with police, and the startup legal toolkit.

The financial life skills nobody actually taught you — money psychology, budgeting, debt, credit, taxes, insurance, retirement accounts, and the math of financial independence. Walk the trunk and you have a system; pull on a cluster when something specific matters.

A working understanding of linear algebra — vectors, matrices, eigenvalues, and the decompositions that power modern data, graphics, and AI. The trunk gives you the geometric and algebraic core; clusters dive into vector spaces, systems and rank, eigentheory, orthogonality and projections, applications, and numerical computation.

A working understanding of probability and statistics — how to reason under uncertainty, turn data into claims, and recognize when those claims are honest. The trunk gives you the core vocabulary and the inference pipeline; clusters dive into Bayesian reasoning, frequentist theory, regression, stochastic processes, and experimental design.

A working understanding of finance and investing — how capital markets price risk, how companies create value, how investors build portfolios, and where the math meets human psychology. The trunk gives you the throughline; clusters dive into financial statements, valuation, corporate finance, bonds, portfolio construction, derivatives, and behavioral finance.