Tech Fixx · Video
How Supervised Learning Uses Labels: Training Data Explained
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Supervised learning is often described as learning with an “answer key”. A model receives examples containing input features and a known label, then learns a pattern it can use to predict labels for new data.
This beginner lesson explains: • Features, labels and labelled datasets • Training, validation and test data • Classification and regression • Loss functions and model evaluation in plain English • Why poor labels create unreliable predictions • A simple example from start to finish
The answer key guides training, but it does not guarantee the model will generalise well to new situations.
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#SupervisedLearning #TrainingData #MachineLearning