Machine learning is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. It's widely used in fields like healthcare, finance, and technology to solve complex problems.

Key Concepts 📚

  • Supervised Learning: Training models with labeled data (e.g., classification, regression)
    supervised_learning
  • Unsupervised Learning: Discovering hidden patterns in unlabeled data (e.g., clustering, dimensionality reduction)
    unsupervised_learning
  • Reinforcement Learning: Training models through reward-punishment mechanisms
    reinforcement_learning

Getting Started 🚀

  1. Start with Python basics if you're new to programming
  2. Explore data preprocessing techniques for machine learning
  3. Practice using popular libraries like TensorFlow and PyTorch

Resources 🔗

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