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Understanding Supervised Learning
Artificial Intelligence (AI) is a broad field focused on creating systems that can perform tasks that would typically require human intelligence. One of the key branches of AI is machine learning, which empowers computers to learn from data and improve over time without being explicitly programmed. Supervised learning is a fundamental paradigm within machine learning. In supervised learning, we train a model on a labeled dataset, where each example is paired with the correct answer. The goal is for the model to learn a mapping from inputs to outputs, based on the patterns present in the data. This learned mapping can then be used to make predictions on new, unseen data. Img: Supervised learning can be further categorized into two main types: classification and regression. Classification involves predicting which category or class an input belongs to. For example, given an image of a handwritten digit, a classification model might predict whether the digit is a "3", "5...
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