Run a focused checkpoint.
Answer what you know, skip what you do not, and let the run turn weak signals into a short review path.
Scope
Run at a glance
Starts with lower-friction anchors, then checks the concentration-to-learning-theory bridge.
Focused checkpoint
Ready for the checkpoint run?
Answer what you know and skip what you do not. Misses adjust the remaining order, and the result becomes a short review path for this checkpoint.
Statistics / estimation
A curated 10-question diagnostic spine for likelihood, Bayesian/frequentist interpretation, hypothesis testing, Fisher information, Cramer-Rao, and MLE regularity.
Learner can distinguish likelihood from log-likelihood, interpret intervals and p-values carefully, compute a scalar Cramer-Rao example, and spot overstrong MLE claims.
How this run adapts
Review focus
- likelihood objectives
- interval and testing interpretation
- Fisher-information curvature
- regularity-condition failure modes
Could unlock
- Estimator Assumption Checklist
- Cramer Rao Sanity Checker
Optional self-check
Leave blank if you want the neutral ramp. Pick only the areas where you have a strong signal.
Vectors, matrices, derivatives, notation.
Distributions, estimators, likelihood, concentration.
Gradients, convexity, SGD, Adam, proximal ideas.
ERM, VC, PAC, Rademacher, generalization.
Deep nets, attention, transformers, value functions.
Moving ideas across topics and checking assumptions.
This focused run uses the gold questions attached to the checkpoint. Sign in to attach it to your profile.
Browser-only run
This diagnostic will save for this browser, but it will not create account-level learning events. Sign in first if you want the run to count toward your profile.