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Auto-sklearn: Efficient and Robust Automated Machine Learning
[chapter]
2019
Automated Machine Learning
The success of machine learning in a broad range of applications has led to an ever-growing demand for machine learning systems that can be used off the shelf by non-experts. To be effective in practice, such systems need to automatically choose a good algorithm and feature preprocessing steps for a new dataset at hand, and also set their respective hyperparameters. Recent work has started to tackle this automated machine learning (AutoML) problem with the help of efficient Bayesian
doi:10.1007/978-3-030-05318-5_6
fatcat:wmhwwjuva5cwdmldqhxukjzpuq