The main difference between Machine Learning (ML) and Reinforcement Learning (RL) is in how they learn and make decisions. Machine Learning (ML) Definition: A broad field that includes algorithms allowing computers to learn patterns from data and make predictions or ...
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Supervised, Unsupervised, and Reinforcement Learning are the three main types of machine learning. Here’s how they differ: Supervised Learning Definition: The model is trained using labeled data, meaning each input comes with a corresponding correct output. Goal: The algorithm learns a ...