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Common machine learning versions generally need big amounts of labeled data for high performance. Even now, a single-shot learning seeks to overcome this limitation by enabling designs toGaussian processes are preferred surrogate versions in Bayesian optimization utilized to do hyperparameter optimization.Google Workspace Harnessing the strength of