Metalearning Applications to Automated Machine Learning and Data Mining /
This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge...
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| Main Authors: | , , , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
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| Edition: | 2nd ed. 2022. |
| Series: | Cognitive Technologies,
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| Subjects: | |
| Online Access: | Link to Metadata |
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OAPEN Library: description of the publication
Metalearning Applications to Automated Machine Learning and Data Mining
Published 2022
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DOAB: description of the publication
Metalearning Applications to Automated Machine Learning and Data Mining
Published 2022
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DOAB: description of the publication
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Book Chapter