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Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024
ISBN 10: 9819970067 ISBN 13: 9789819970063
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819970067 ISBN 13: 9789819970063
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Editore: Springer Nature Singapore Mrz 2024, 2024
ISBN 10: 9819970067 ISBN 13: 9789819970063
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three parts: the first part looks in detail at the theoretical foundations of OML, comparing it to Batch Machine Learning (BML) and discussing what criteria should be developed for a meaningful comparison. The second part provides practical considerations, and the third part substantiates them with concrete practical applications.The book is equally suitable as a reference manual for experts dealing with OML, as a textbook for beginners who want to deal with OML, and as a scientific publication for scientists dealing with OML since it reflects the latest state of research. But it can also serve as quasi OML consulting since decision-makers and practitioners can use the explanations to tailor OML to their needs and use it for their application and ask whether the benefits of OML might outweigh the costs.OML will soon become practical; it is worthwhile to get involved with it now. This book already presents some tools that will facilitate the practice of OML in the future. A promising breakthrough is expected because practice shows that due to the large amounts of data that accumulate, the previous BML is no longer sufficient. OML is the solution to evaluate and process data streams in real-time and deliver results that are relevant for practice. 172 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents systematic comparison of OML and BML in terms of performance, time and memory requirementsExplains how OML can be customized by hyperparameter tuningProvides practices accompanied with software packageProf. Dr. Thom.
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Aggiungi al carrelloBuch. Condizione: Neu. Online Machine Learning | A Practical Guide with Examples in Python | Eva Bartz (u. a.) | Buch | xiii | Englisch | 2024 | Springer | EAN 9789819970063 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.