Introduction of Machine Learning (in Points)
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Machine Learning (ML) is a branch of Artificial Intelligence (AI).
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It enables computers to learn from data without explicit programming.
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ML systems identify patterns, trends, and relationships in data.
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Algorithms and statistical models are used to make predictions or decisions.
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Performance improves as more data is provided to the system.
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Main types of machine learning:
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Supervised Learning – uses labeled data.
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Unsupervised Learning – works with unlabeled data.
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Reinforcement Learning – learns through rewards and penalties.
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Machine learning is widely used in daily applications like recommendations and spam filters.
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It plays an important role in healthcare, finance, education, and marketing.
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ML supports automation, accuracy, and data-driven decision-making.
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It is a key technology shaping the future of intelligent systems.


