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Introduction to machine learning from "summary" of Machine Learning by Stephen Marsland
Machine learning is a field of study that gives computers the ability to learn without being explicitly programmed. It is a type of artificial intelligence that involves developing algorithms and statistical models that enable computers to perform specific tasks without human intervention. The goal of machine learning is to create systems that can learn from data and improve over time. Machine learning algorithms are designed to make predictions or decisions based on input data. These algorithms can be categorized into three main types: supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, the algorithm is trained on a labeled dataset, where the correct output is provided. The algorithm learns to map input data to the correct output by minimizing a predefined error function. Unsupervised learning, on the other hand, involves training the algorithm on an unlabeled dataset and letting it discover patterns and r...
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