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Optimizing Hyperparameters for Machine Learning Algorithms in Production

Language EnglishEnglish
Book Paperback
Book Optimizing Hyperparameters for Machine Learning Algorithms in Production Jonathan Krauß
Libristo code: 38995038
Publishers Apprimus Verlag, November 2021
Machine learning offers the potential to train data-based models and therefore to extract knowledge... Full description
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Machine learning offers the potential to train data-based models and therefore to extract knowledge from data. One key design decision is the selection of hyperparameters of a machine learning algorithm. Hyperparameter optimization techniques automatically tune the hyperparameters - but choosing the best technique depends highly on the use case. This book presents a decision support system for the selection of hyperparameter optimization techniques in the production domain.

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About the book

Full name Optimizing Hyperparameters for Machine Learning Algorithms in Production
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 258
EAN 9783985550203
Libristo code 38995038
Publishers Apprimus Verlag
Weight 356
Dimensions 150 x 13 x 210
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