All Tech
Technical taxonomies, programming language references, and modern web design notes.
Artificial Intelligence
Foundational models, taxonomy frameworks, and machine learning notes.
AI & ML Taxonomy
Conceptual hierarchy connecting disciplines, problem domains, learning paradigms, and metrics.
Neural Networks & DL
DraftFeedforward networks, activation functions, backpropagation mechanics, and architectural blueprints.
Metrics & Validation
DraftConfusion matrices, precision-recall trade-offs, ROC AUC diagnostics, and regression error bounds.
Featured Reference Map
AI & Machine Learning Taxonomy
Artificial Intelligence
Machine Learning
Deep Learning
→
Neural Networks
Problem Domain
Classification
F1 Score
ROC AUC
Precision
Recall
Metrics
Clustering
Regression
MAE
RMSE
R²
Metrics
Anomaly Detection
Learning Paradigm
Supervised Learning
Regression
Decision Trees
Neural Networks
Random Forests
Support Vector Machines
Algorithms
Unsupervised Learning
k-Means
PCA
DBSCAN
Algorithms
Reinforcement Learning
Q-LearningAlgorithm
Agent
Policy
Value Function