Navigation überspringen
Universitätsbibliothek Heidelberg
Standort: ---
Exemplare: ---
 Online-Ressource
Titel:Designing machine learning systems in the cloud
Mitwirkende:Gallatin, Kyle [MitwirkendeR]   i
Institutionen:O'Reilly (Firm), [Verlag]   i
Ausgabe:[First edition].
Verlagsort:[Sebastopol, California]
Verlag:O'Reilly Media, Inc.
E-Jahr:2024
Jahr:[2024]
Umfang:1 online resource (1 video file (1 hr., 16 min.))
Illustrationen:sound, color.
Fussnoten:Online resource; title from title details screen (O’Reilly, viewed August 19, 2024)
Abstract:This course is an introduction to designing and implementing production machine learning (ML) systems that will give students the skills necessary to architect and deploy ML solutions to the cloud. This course is for anyone with at least 2 years of programming experience and familiarity with ML looking to deliver real business value with ML in real, enterprise software systems. Using Python, Docker, Kubernetes, and Google Cloud, students will learn the practical skills necessary to build end-to-end ML systems, from engineering training data, features and data pipelines to deploying and monitoring ML models for real-time inference in production.
URL:Aggregator: https://learning.oreilly.com/library/view/-/0636920953234/?ar
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Apprentissage automatique
 Instructional films
 Nonfiction films
 Internet videos
 Films de formation
 Films autres que de fiction
 Vidéos sur Internet
K10plus-PPN:1903893429
 
 
Lokale URL UB: Zum Volltext
 
 Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
 Klinikum MA Bestellen/Vormerken für Benutzer des Klinikums Mannheim
Eigene Kennung erforderlich
Bibliothek/Idn:UW / m4585390006
Lokale URL Inst.: Zum Volltext

Permanenter Link auf diesen Titel (bookmarkfähig):  https://katalog.ub.uni-heidelberg.de/titel/69258338   QR-Code
zum Seitenanfang