Atlas · GenAI 2026
Mathematical & Statistical Foundations
14 skills · ontology graph below shows relations within this section.
What this domain covers
This edition groups 14 capabilities in Mathematical & Statistical Foundations across 8 named categories. The inventory contains 14 concepts and 0 tools; 5 skills appeared in at least two of the three original research runs. The remaining entries stay visible with their lower coverage so a reader can distinguish taxonomy scope from research-system agreement.
Current category labels: Calculus · Causal Inference · Experimental Design · Information Theory · Linear Algebra · Optimization & Operations Research · Probability & Bayesian Methods · Statistical Inference
Frequent learning foundations
- Statistical Inference supports 3 mapped skills
- Linear Algebra supports 2 mapped skills
- Probability Theory supports 2 mapped skills
- A/B Testing supports 1 mapped skill
- Regression Analysis supports 1 mapped skill
Skills in this section
Calculus for Machine Learning
Calculus
Causal Inference
Causal Inference
A/B Testing
Experimental Design
Information Theory
Information Theory
Linear Algebra
Linear Algebra
Mathematical Optimization
Optimization & Operations Research
Operations Research
Optimization & Operations Research
Scheduling Algorithms
Optimization & Operations Research
Search Algorithms
Optimization & Operations Research
Bayesian Statistics
Probability & Bayesian Methods
Monte Carlo Simulation
Probability & Bayesian Methods
Probability Theory
Probability & Bayesian Methods
Quantitative Research
Statistical Inference
Statistical Inference
Statistical Inference