What is machine learning algorithm?

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A machine learning algorithm is a set of rules or instructions that a computer program follows to learn patterns from data and make predictions or decisions without being explicitly programmed to do so. These algorithms enable computers to recognize patterns, classify information, make predictions, and optimize processes based on historical data.

There are various types of machine learning algorithms, including supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and more. Each type of algorithm is designed to solve different types of problems and requires different approaches to training and evaluation. Some common examples of machine learning algorithms include decision trees, support vector machines, neural networks, k-nearest neighbors, and clustering algorithms like k-means.
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