Difference between supervised and unsupervised machine learning ?

Question

Anonimo · Accepted Answer

Supervised learning is a machine learning method in which models are trained using labeled data. Unsupervised learning is another machine learning method in which patterns inferred from the unlabeled input data.

Jagadish Eslavath · Answer

Supervised Learning is the machine learning technique where features are trained to find hidden patterns to deploy the model. Where in Unsupervised Learning the algorithm is given without the features as input by adding some weights in every layer to find the hidden patterns and output isn't supervised.

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