Where Models Fail
A conceptual framework – three genuinely different ways a formalized generalization can miss reality A formalization can fail to match
M_Foundation, YEM
M_Foundation
Basics for learning Mathematics mainly for modeling under uncertainty
M_Foundation, YEM
Computation – Where the Model Becomes Real, and Where Machine Learning Breaks the Old Rules
A conceptual framework – the third leg, and the one place the earlier framework needs an extra clause Mathematics gives
M_Foundation, YEM
Statistics and Data – Uncertainty and Inference
A conceptual framework – where modeling ends and estimation begins With generalization and formalization established as modeling’s core act, statistics
M_Foundation, YEM
The Machinery – Mathematics as Structure and Logic
A conceptual framework – the vocabulary formalization needs before it can say anything precisely Generalization makes a claim. Formalization gives
M_Foundation, YEM
Generalization and Formalization
A conceptual framework – from a rough sense of a pattern to a structure you can compute with Modeling is