Machine Learning a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable computers to perform tasks without explicit instructions. Instead of being programmed to perform a specific task, ML systems learn from data, identifying patterns and making decisions based on that information. Key concepts in ML include:
Supervised Learning: The model is trained on labeled data, where the outcome is known.
Unsupervised Learning: The model works with unlabeled data, trying to find hidden patterns or intrinsic structures.
Reinforcement Learning: The model learns by receiving feedback in the form of rewards or penalties.
Applications of machine learning are vast, ranging from image and speech recognition to recommendation systems and predictive analytics.
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