What is Supervised Learning?

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Supervised Learning is a type of machine learning where the model is trained on a labeled dataset. In this approach, the algorithm learns to map input data to the correct output based on examples provided in the training data. The "supervision" comes from the labeled data, which guides the model to make accurate predictions.

Supervised Learning is the magic wand in the realm of AI, where data meets its mentor. At its core, Supervised Learning is about turning raw data into knowledge, transforming chaos into clarity. It’s where the algorithm learns to distinguish between a cat and a dog, recognize patterns, and predict future trends with poetic elegance.

Imagine a wise teacher guiding students through the complexities of life—this is how Supervised Learning operates in the digital universe. Here, an algorithm learns from labeled data, until it can make predictions with the precision of a seasoned expert.

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