Articoli correlati a Hyperparameter Tuning for Machine and Deep Learning...
- EditoreSpringer
- Data di pubblicazione2022
- ISBN 10 9811951721
- ISBN 13 9789811951725
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione1
- Numero di pagine344
- RedattoreBartz Eva, Bartz-Beielstein Thomas, Zaefferer Martin, Mersmann Olaf
Compra nuovo
Visualizza questo articolo
EUR 52,80
GRATIS per la spedizione in U.S.A.
Destinazione, tempi e costi
Risultati della ricerca per Hyperparameter Tuning for Machine and Deep Learning...
Immagini fornite dal venditore
Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide (Paperback or Softback)
Editore:
Springer 12/19/2022, 2022
ISBN 10: 9811951721
ISBN 13: 9789811951725
Nuovo
Paperback or Softback
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback or Softback. Condizione: New. Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide 1.06. Book. Codice articolo BBS-9789811951725
Quantità: 5 disponibili
Foto dell'editore
Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9789811951725
Quantità: Più di 20 disponibili
Foto dell'editore
Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide
Da: Chiron Media, Wallingford, Regno Unito
Valutazione del venditore 5 su 5 stelle
PF. Condizione: New. Codice articolo 6666-IUK-9789811951725
Quantità: 10 disponibili
Foto dell'editore
Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9789811951725_new
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Hyperparameter Tuning for Machine and Deep Learning with R
Editore:
Springer Nature Singapore Dez 2022, 2022
ISBN 10: 9811951721
ISBN 13: 9789811951725
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here.The case studies presented in this book can be run on a regular desktop or notebook computer. No high-performance computing facilities are required. The idea for the book originated in a study conducted by Bartz & Bartz GmbH for the Federal Statistical Office of Germany (Destatis). Building on that study, the book is addressed to practitioners in industry as well as researchers, teachers and students in academia. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II). Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms. The book presents analyses of more than 30 hyperparameters from six relevant ML and DL methods, and provides source code so that users can reproduce the results. Accordingly, it serves as a handbook and textbook alike. 344 pp. Englisch. Codice articolo 9789811951725
Quantità: 2 disponibili
Immagini fornite dal venditore
Hyperparameter Tuning for Machine and Deep Learning with R : A Practical Guide
Editore:
Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10: 9811951721
ISBN 13: 9789811951725
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here.The case studies presented in this book can be run on a regular desktop or notebook computer. No high-performance computing facilities are required. The idea for the book originated in a study conducted by Bartz & Bartz GmbH for the Federal Statistical Office of Germany (Destatis). Building on that study, the book is addressed to practitioners in industry as well as researchers, teachers and students in academia. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II).Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms. The book presents analyses of more than 30 hyperparameters from six relevant ML and DL methods, and provides source code so that users can reproduce the results. Accordingly, it serves as a handbook and textbook alike. Codice articolo 9789811951725
Quantità: 1 disponibili
Foto dell'editore
Hyperparameter Tuning for Machine and Deep Learning With R: A Practical Guide
Editore:
Springer-Nature New York Inc, 2022
ISBN 10: 9811951721
ISBN 13: 9789811951725
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 340 pages. 9.25x6.10x0.72 inches. In Stock. Codice articolo x-9811951721
Quantità: 2 disponibili
Immagini fornite dal venditore
Hyperparameter Tuning for Machine and Deep Learning with R
Editore:
Springer, Berlin|Springer Nature Singapore|TH Köln, Institute for Data Science, Engineering, and Analytics|Springer, 2022
ISBN 10: 9811951721
ISBN 13: 9789811951725
Nuovo
Kartoniert / Broschiert
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the . Codice articolo 668479473
Quantità: Più di 20 disponibili