Interpretable Machine Learning Explained for Analysts
18 min read
Learn interpretable machine learning techniques, evaluation, and trade-offs. Build auditable, reproducible analyses with practical workflows and examples.
Resources
Guides and articles on AI data analysis, agentic analytics, and getting more out of your data.
Analysis Readiness: Six Items Academic Teams Need for IRB/GDPR
A six item checklist for academic teams to meet IRB and GDPR gates: assign owners, record required artifacts, and export review ready analysis packages.
Poisson Regression Models Explained with Examples
18 min read
Learn Poisson regression models for count data — theory, assumptions, diagnostics, extensions and code examples to interpret and apply them correctly.
Keep Sensitive Data Local: Audit Ready Data Lineage for Research
Create local, auditable per analysis data lineage in seven actions for IRB and GDPR sensitive research. Export reviewer ready packages without uploads.
Machine Learning Model Selection: A Practical Framework
17 min read
A practical framework for machine learning model selection, covering baselines, validation, trade-offs, and tuning for analyst-grade results.
Stop Reviewer Objections: Missing Data Imputation for Researchers
Research grade missing data imputation for papers. Diagnose MCAR, MAR, and MNAR, apply MICE and Rubin's rules for inference, pre register workflows and...
Data Governance Frameworks Explained Simply
18 min read
Learn data governance frameworks, compare DMBOK, COBIT and ISO models, and build a practical roadmap with roles, KPIs and pitfalls.
95.3% Accuracy: Multi Agent Analytics for Reproducible Research
Architecture for researchers: reproducible, privacy safe multi agent analytics with orchestration, validators, and PlotStudio local prototype.
Hazard Ratios Explained Simply with Examples
18 min read
Hazard ratios explained clearly — definition, Cox model, interpretation, confidence intervals, plots and common pitfalls with R and Python examples.
80/20 Causal Inference for Business: Quick Checks, Audit Ready Plans
Practical causal inference for business: when quick checks suffice and when to pre register and run analyses locally for audit ready, high stakes decisions.
ROC Curve Interpretation: A Practitioner's Guide
17 min read
Learn ROC curve interpretation with clear explanations of AUC, thresholds, model comparison, common mistakes, and when to use PR curves or calibration instead.
Privacy first, IRB ready automated reporting workflows for research
Privacy first checklist for automated reporting workflows in research. Pre register plans, capture provenance, and export IRB ready artifacts.