Supervised Learning, a subset of machine learning and artificial intelligence, uses labeled dataset inputs to train computer algorithms that precisely classify data or predict outcomes. The model is trained until it can recognize the underlying patterns and associations between the input and output labels, allowing it to produce precise labeling results when presented with data that has never been seen before.
Some main applications of supervised learning include spam detection and speech recognition.
