Machine learning is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. Here's a quick overview:

Key Concepts 📘

  • Definition: Machine learning algorithms improve automatically through experience (data).
    machine_learning_basics
  • Types:
    • Supervised Learning (e.g., regression, classification)
      supervised_learning
    • Unsupervised Learning (e.g., clustering, dimensionality reduction)
      unsupervised_learning
    • Reinforcement Learning (e.g., Q-learning, policy gradients)
      reinforcement_learning
  • Applications:
    • Healthcare (e.g., disease diagnosis)
    • Finance (e.g., fraud detection)
    • Recommendation Systems
      recommendation_systems

Learning Resources 📚

Let me know if you'd like to dive deeper into any specific concept!