Meta-Learning


Meta-learning in machine learning refers to learning algorithms that learn from other learning algorithms. Meta-learning algorithms typically refer to ensemble learning algorithms like stacking that learn how to combine the predictions from other machine learning algorithms in the field of ensemble learning. Nevertheless, meta-learning might also refer to the manual process of model selecting and algorithm tuning performed by a practitioner on a machine learning project that modern automl algorithms seek to automate. It also refers to learning across


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