Machine Learning Fundamentals
Random Forest
An ensemble of decision trees trained on random subsets of data and features, reducing overfitting through averaging.
Related Concepts
- Decision Tree: Explore how Decision Tree relates to Random Forest
- Ensemble Learning: Explore how Ensemble Learning relates to Random Forest
- Bagging: Explore how Bagging relates to Random Forest
Why It Matters
Understanding Random Forest is crucial for anyone working with machine learning fundamentals. This concept helps build a foundation for more advanced topics in AI and machine learning.
Learn More
This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
machine-learning-fundamentals decision-tree ensemble-learning bagging