Haben Sie Fragen? Einfach anrufen, wir helfen gerne: Tel. 089/210233-0
oder besuchen Sie unser Ladengeschäft in der Pacellistraße 5 (Maxburg) 80333 München
+++ Versandkostenfreie Lieferung innerhalb Deutschlands
Haben Sie Fragen? Tel. 089/210233-0

Online Machine Learning

64,19 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18658c4080c3394a33b3c0d0416929aed4
Themengebiete: Artificial Intelligence Drift Detection Machine Learning Online Machine Learning Python Supervised Learning
Veröffentlichungsdatum: 02.04.2025
EAN: 9789819970094
Sprache: Englisch
Seitenzahl: 155
Produktart: Kartoniert / Broschiert
Herausgeber: Bartz, Eva Bartz-Beielstein, Thomas
Verlag: Springer Singapore
Untertitel: A Practical Guide with Examples in Python
Produktinformationen "Online Machine Learning"
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.In addition to this book, interactive Jupyter Notebooks and further material about OML are provided in the GitHub repository (https://github.com/sn-code-inside/online-machine-learning). The repository is continuously maintained, so the notebooks may change over time.

Sie möchten lieber vor Ort einkaufen?

Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.

Juristische Fachbuchhandlung
Georg Blendl

Parcellistraße 5 (Maxburg)
8033 München

Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen