Machine learning is a branch of artificial intelligence (AI) that allows systems to learn from data and improve over time. The two most common types of machine learning are supervised learning and unsupervised learning. While both approaches involve training models on data, they differ in how they learn, what they aim to accomplish, and how they are applied to real-world problems.
Supervised vs. Unsupervised Learning: Key Differences and Use Cases
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