Machine Learning (ML) is the heart of modern AI systems. It gives machines the ability to learn from data, identify patterns, and make predictions without explicit programming.
There are three primary learning types:
- Supervised Learning – learning from labeled data.
- Unsupervised Learning – finding hidden patterns in unlabeled data.
- Reinforcement Learning – learning through trial and reward.
ML powers intelligent systems like chatbots, self-driving cars, recommendation engines, and fraud detection systems.
By continuously improving with more data, ML models enable systems to adapt to changing environments and make smarter decisions over time.
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