armen Edvard
Machine learning is a subset of artificial intelligence that enables systems to learn from data and improve their performance over time without being explicitly programmed. It involves algorithms that identify patterns in data and make predictions or decisions based on that information.
There are various types of machine learning, including:
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Supervised Learning: The model is trained on labeled data, where the desired output is known. It learns to map inputs to outputs.
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Unsupervised Learning: The model works with unlabeled data, trying to find hidden patterns or groupings without specific guidance.
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Reinforcement Learning: The model learns through trial and error, receiving feedback in the form of rewards or penalties based on its actions.
Machine learning is used in numerous applications, from recommendation systems and image recognition to natural language processing and autonomous vehicles.
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