Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit instructions. Instead, these systems learn from data and improve their performance over time.

Key Concepts:

1. Types of Machine Learning:

   • Supervised Learning: The model is trained on labeled data, meaning the input data is paired with the correct output. Common tasks include classification and regression.
   • Unsupervised Learning: The model works with unlabeled data to find patterns or groupings. Clustering and dimensionality reduction are typical examples.
   • Reinforcement Learning: The model learns by interacting with an environment and receiving feedback in the form of rewards or penalties, aiming to maximize cumulative reward.

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