Training Methods encompass the algorithms and procedures used to optimise machine learning model parameters against training data, including supervised, unsupervised, semi-supervised, reinforcement, transfer, curriculum, and contrastive learning paradigms. The choice of method fundamentally determines model capability, data efficiency, and generalisation behaviour.
Training Methods encompass the algorithms and procedures used to optimise machine learning model parameters against training data, including supervised, unsupervised, semi-supervised, reinforcement, transfer, curriculum, and contrastive learning paradigms. The choice of method fundamentally determines model capability, data efficiency, and generalisation behaviour.
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