Machine Learning

Algorithms, models and training concepts.

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Self-Supervised Learning

Self-supervised learning is a machine learning method where a model creates its own training labels directly from the input data, without needing human annotations.

Semi-Supervised Learning

Semi-supervised learning is a machine learning approach that combines a small amount of labeled data with a large amount of unlabeled data to train models more effectively than using either alone.

Supervised Learning

Supervised learning is a machine learning method where a model is trained on data that already has correct answers attached, so it can learn to predict those answers for new data.