Machine learning is a dynamic field within artificial intelligence that focuses on developing algorithms enabling systems to learn from data. Here's a breakdown of key areas:

  • Supervised Learning 📊
    Uses labeled data to train models for tasks like classification and regression.

    Supervised_Learning

  • Unsupervised Learning 🧩
    Deals with unlabeled data, aiming to find hidden patterns or structures.

    Unsupervised_Learning

  • Reinforcement Learning 🤖
    Involves agents learning to make decisions by interacting with an environment.

    Reinforcement_Learning

For deeper insights, explore our Artificial Intelligence Research Hub. 🌐