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cross-validation

Designs and implements resampling-based evaluation protocols and pipelines (e.g., k‑fold, repeated, nested, stratified, grouped, spatio‑temporal, walk‑forward/expanding/rolling-window and constrained variants) that preserve temporal, spatial, class, or group structure to produce realistic out‑of‑sample performance estimates and prevent training–validation leakage. Builds the associated procedures to tune hyperparameters within proper folds, compute and compare evaluation metrics (including turnover/cost adjustments, calibration, predictive coverage and correlation), and run statistical comparisons of models or ensembles.

Trending
Score3.82
Career
Value$195K/year

versioned pointers

Designs and implements pointer and storage representations plus accompanying algorithms that attach version tags or counters to pointers and stored values and maintain state versioning across updates; these artifacts detect stale or duplicate operations (e.g., ABA), enable version-aware conflict detection and resolution, and preserve atomicity for multi-word or idempotent updates.

Trending
Score3.02
Career
Value$194K/year

logistic regression modeling

Designs, fits, and evaluates generalized linear classification models using a logit or softmax link to predict binary or multiclass outcomes, producing calibrated class-probability estimates and interpretable linear decision boundaries; incorporates observation weights and interaction terms where needed and assesses coefficient significance and predictive performance (including cross-validation and accuracy/ROC-style measures).

Trending
Score2.86
Career
Value$189K/year

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