Atlas · GenAI 2026
Classical Machine Learning & Modeling
26 skills · ontology graph below shows relations within this section.
What this domain covers
This edition groups 26 capabilities in Classical Machine Learning & Modeling across 9 named categories. The inventory contains 21 concepts and 5 tools; 12 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: Anomaly Detection · EDA & Model Evaluation · Forecasting · Model Selection & Tuning · Recommenders · Reinforcement Learning · Sequential Decision-Making · Supervised Learning · and 1 more
Frequent learning foundations
- Classical Machine Learning supports 2 mapped skills
- Statistical Inference supports 2 mapped skills
- Linear Algebra supports 1 mapped skill
- Mathematical Optimization supports 1 mapped skill
- Model Evaluation supports 1 mapped skill
Skills in this section
Anomaly Detection
Anomaly Detection
Exploratory Data Analysis
EDA & Model Evaluation
Model Evaluation
EDA & Model Evaluation
Predictive Analytics
Forecasting
Time Series Forecasting
Forecasting
Hyperparameter Optimization
Model Selection & Tuning
Recommender Systems
Recommenders
Reinforcement Learning
Reinforcement Learning
Multi-armed Bandits
Sequential Decision-Making
Classical Machine Learning
Supervised Learning
Gradient Boosting
Supervised Learning
Regression Analysis
Supervised Learning
Unsupervised Learning
Unsupervised Learning
Prophet
Forecasting
AutoML
Model Selection & Tuning
Optuna
Model Selection & Tuning
CatBoost
Supervised Learning
Classification
Supervised Learning
Decision Trees
Supervised Learning
Ensemble Learning
Supervised Learning
LightGBM
Supervised Learning
Random Forests
Supervised Learning
Supervised Machine Learning
Supervised Learning
Support Vector Machines
Supervised Learning
XGBoost
Supervised Learning
Cluster Analysis
Unsupervised Learning