🧠 What is Machine Learning?
Machine Learning (ML) is a subset of artificial intelligence that enables systems to learn patterns from data without explicit programming. It's like teaching a computer to recognize cats in photos by showing it thousands of examples, rather than writing rules manually.

📊 Key Concepts

  • Data Training: Feeding models with datasets to identify trends
  • Predictive Modeling: Using patterns to make predictions
  • Evaluation Metrics: Measuring model performance (e.g., accuracy, F1 score)

🚀 Applications of ML

  • Image recognition (e.g., facial detection)
  • Natural Language Processing (NLP)
  • Recommendation systems (e.g., YouTube suggestions)
  • Autonomous vehicles

📚 Learning Resources

machine_learning
supervised_learning
unsupervised_learning
reinforcement_learning