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AI refers to the simulation of human intelligence in machines that are programmed to think and learn. These systems can perform tasks such as problem-solving, speech recognition, decision-making, and language translation.
Machine Learning is a subset of AI that focuses on building systems that can learn from data and improve over time without being explicitly programmed. Algorithms in ML use historical data to predict future outcomes or make decisions.
Supervised Learning: Learns from labeled data.
Unsupervised Learning: Finds patterns in unlabeled data.
Semi-supervised Learning: Combines a small amount of labeled data with a large amount of unlabeled data.
Reinforcement Learning: Learns through trial and error using rewards and penalties.
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