<ul><li>Machine learning is about teaching computers to recognize patterns in data without explicitly programming them for every possible scenario.</li><li>The process starts with a dataset, which can be of different types and quality.</li><li>To teach the computer to recognize patterns, a machine learning algorithm is used. These algorithms fall into three main categories: supervised, unsupervised, and reinforcement learning.</li><li>Supervised learning involves training a model using labeled data with a known answer.</li></ul>

How Machine Learning Works: A Simple Explanation for Beginners

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