Machine learning algorithms are the core of AI, enabling systems to learn from data and improve their performance over time. In this section, we will explore some of the most common and influential algorithms in the field.

Common Machine Learning Algorithms

  • Supervised Learning

    • Linear Regression
    • Logistic Regression
    • Decision Trees
    • Random Forest
    • Gradient Boosting Machines

  • Unsupervised Learning

    • K-Means Clustering
    • Hierarchical Clustering
    • Principal Component Analysis (PCA)
    • Association Rules

  • Reinforcement Learning

    • Q-Learning
    • Policy Gradients
    • Deep Q-Network (DQN)

Further Reading

For more in-depth information on machine learning algorithms, we recommend checking out our Machine Learning Basics guide.

Decision Tree

Random_Forest