State of Hyperparameter Selection

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State of Hyperparameter Selection

State of Hyperparameter Selection DANIEL SALTIEL VIEW NOTEBOOK Historically hyperparameter determination has been a woefully forgotten aspect of machine learning. With the rise of neural nets - which require more hyperparameters, more precisely tuned…

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本文为Awesome-AutoML-Papers的译文. 1.AutoML简介 Machine Learning几年来取得的不少可观的成绩,越来越多的学科都依赖于它.然而,这些成果都很大程度上取决于人类机器学习专家来完成如下工作: 数据预处理 Preprocess the data 选择合适的特征 Select appropriate features 选择合适的模型族 Select an appropriate model family 优化模型参数 Optimize model hyperp…