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Prismatic Academy
Interactive learning platform with evidence-based cases and real-world scenarios
Sensitivity Analysis for Model Interpretability
Understand how model predictions change with input perturbations. Master finite difference methods, gradient estimation, Sobol indices, and local sensitivity analysis for model interpretability.
Dimensionality Reduction with SVD & PCA
Master SVD and PCA for dimensionality reduction. Learn to compress data while preserving essential information, select optimal component counts, and reconstruct data with controlled information loss.
OSINT Signal Synthesis under Uncertainty
Master the art of correlating intelligence signals when sources conflict and evidence is incomplete. Learn to navigate uncertainty while building defensible assessments.
Data Preprocessing & Normalization
Master data preprocessing techniques essential for ML pipelines. Learn Z-score standardization, robust scaling, min-max normalization, and encoding methods with mathematical rigor and hands-on practice.
API Security Analysis
Comprehensive API security assessment combining automated scanning, manual testing, and business logic vulnerability discovery. Master REST, GraphQL, and WebSocket security analysis.
Decision Integrity & Stability Analysis
Analyze the robustness and stability of model decisions near thresholds. Learn to quantify decision margins, detect fragile predictions, and build confidence in automated decision-making.
Multi-Criteria Decision Aggregation
Master multi-criteria decision making with Pareto filtering, veto rules, weighted aggregation, and OWA operators. Learn to combine conflicting objectives into defensible decisions.
Feature Attribution & Explainability
Master feature attribution methods for explainable AI. Learn leave-one-out ablation, integrated gradients, SHAP values, and additive attribution to understand which features drive model predictions.
Counterfactual Explanations for Explainable AI
Learn to generate 'what-if' explanations that show the minimal changes needed to flip a model's decision. Master constrained optimization, actionability constraints, and plausibility validation.
Probability Calibration for Reliable Predictions
Transform model scores into reliable probability estimates. Master Platt scaling, isotonic regression, and calibration evaluation using Expected Calibration Error and reliability diagrams.
Network Intelligence Gathering
Master systematic network reconnaissance and intelligence gathering techniques. Learn to map network infrastructure, enumerate services, and correlate intelligence findings for comprehensive network assessment.
Cognitive Load Management in Crisis
Master psychological principles for effective crisis management. Learn to manage cognitive load, make sound decisions under pressure, and coordinate team responses while maintaining technical system reliability.