Machine Learning

 Machine Learning is a subset of artificial intelligence (AI) that enables computers to learn from data and improve their performance over time without being explicitly programmed. It focuses on developing algorithms and models that can identify patterns, make predictions, and solve complex problems.


  • Types of Learning:


    • Supervised Learning: Models are trained on labeled data (e.g., predicting house prices).

    • Unsupervised Learning: Models identify patterns in unlabeled data (e.g., clustering customer segments).

    • Reinforcement Learning: Models learn by interacting with an environment and receiving feedback (e.g., training robots or game-playing AI).




Difference between hyperparameter and parameter

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