1. Knowledge Graph
1.1. Machine Learning
1.1.1. Supervised Learning
1.1.1.1. Regression
1.1.1.1.1. Common Algorithms
1.1.1.1.2. Application
1.1.1.2. Classification
1.1.1.2.1. Common Algorithms
1.1.1.2.2. Application
1.1.1.3. Deep learning
1.1.1.3.1. Classification by network architecture
1.1.2. Unsupervised Learning
1.1.2.1. Clustering
1.1.2.2. Dimensionality Reduction
1.1.3. Reinforcement Learning
1.1.4. Semi-supervised Learning
1.1.5. Transfer Learning
1.2. Symbolic Systems
1.2.1. Expert System
2. Technology Fields
2.1. perception and understanding
2.1.1. Computer Vision
2.1.1.1. Image Classification and Object Detection
2.1.1.2. Image Segmentation
2.1.1.3. Video Analysis
2.1.1.4. Facial Recognition and Verification
2.1.2. Natural Language Processing
2.1.2.1. Text Generation
2.1.2.2. Speech Recognition and Synthesis
2.1.2.3. Machine Translation
2.2. decision-making and prediction
2.2.1. Machine Learning
2.3. reasoning and association
2.3.1. Knowledge Graphs