Machine Learning Concepts Mind Map
Mind map of core machine learning concepts: supervised, unsupervised and reinforcement learning, evaluation metrics and deep learning.
How it flows
- Central Topic → Supervised Learning
- Central Topic → Unsupervised Learning
- Central Topic → Reinforcement Learning
- Central Topic → Model Evaluation
- Central Topic → Deep Learning
- Supervised Learning → Linear Regression
- Supervised Learning → Logistic Regression
- Supervised Learning → Decision Trees
- Supervised Learning → SVM
- Unsupervised Learning → K-Means
- Unsupervised Learning → PCA
- Unsupervised Learning → Hierarchical Clustering
- Reinforcement Learning → Agent
- Reinforcement Learning → Reward
- Reinforcement Learning → Q-Learning
- Model Evaluation → Accuracy
- Model Evaluation → Precision & Recall
- Model Evaluation → Cross-Validation
- Model Evaluation → Overfitting
- Deep Learning → Neural Networks
- Deep Learning → CNN
- Deep Learning → RNN
- Deep Learning → Transformers
Components
Central Topic · Supervised Learning · Unsupervised Learning · Reinforcement Learning · Model Evaluation · Deep Learning · Linear Regression · Logistic Regression · Decision Trees · SVM · K-Means · PCA · Hierarchical Clustering · Agent · Reward · Q-Learning · Accuracy · Precision & Recall · Cross-Validation · Overfitting · Neural Networks · CNN · RNN · Transformers