Title:
Hyperparameter Tuning for Machine and Deep Learning with R A Practical Guide
Author:
Bartz, Eva. editor.
ISBN:
9789811951701
Edition:
1st ed. 2023.
Physical Description:
XVII, 323 p. 84 illus., 60 illus. in color. online resource.
Contents:
Chapter 1: Introduction -- Chapter 2: Tuning -- Chapter 3: Models -- Hyperparameter Tuning Approaches -- Chapter 5: Result Aggregation -- Chapter 6: Relevance of Tuning in Industrial Applications -- Chapter 7: Hyperparameter Tuning in German Official Statistics -- Chapter 8: Case Study I -- Chapter 9: Case Study II -- Chapter 10: Case Study III -- Chapter IV: Case Study IV -- Chapter 12: Global Study.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-19-5170-1Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 520182-1001 | XX(520182.1) | Searching... | Searching... |