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AutoML methods
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Part 1 of ebook "Automated machine learning: Methods, systems, challenges" provides readers with contents including: AutoML methods; hyperparameter optimization; meta-learning; neural architecture search; blackbox hyperparameter optimization; multi-fidelity optimization; open problems and future research directions; performance estimation strategy;...
87p
tieulangtran
28-09-2023
6
2
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Continued part 1, part 2 of ebook "Automated machine learning: Methods, systems, challenges" provides readers with contents including: AutoML systems; AutoML challenges; automatic model selection and hyperparameter optimization in WEKA; efficient and robust automated machinelearning; a tree-based pipeline optimization toolfor automating machine learning; the automatic statistician;...
136p
tieulangtran
28-09-2023
1
1
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