Optimizing Hyperparameters for Machine Learning Algorithms in Production - Jonathan Krauß
-25% koodilla BOOKS
Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
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 ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Jonathan Krauß |
|---|---|
| Julkaisija | Apprimus Verlag |
| Julkaisuvuosi | 2022 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783985550203 |