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| |  Online-Ressource |
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| Titel: | MLOps Engineering at Scale, Video Edition |
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| Verlagsort: | [Erscheinungsort nicht ermittelbar] |
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| Verlag: | Manning Publications |
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| Jahr: | 2022 |
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| Umfang: | 1 online resource (1 video file) |
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| Fussnoten: | Machine-generated record |
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| Abstract: | MLOps Engineering at Scale teaches you how to implement efficient machine learning systems using pre-built services from AWS and other cloud vendors. This easy-to-follow book guides you step-by-step as you set up your serverless ML infrastructure, even if you’ve never used a cloud platform before. You’ll also explore tools like PyTorch Lightning, Optuna, and MLFlow that make it easy to build pipelines and scale your deep learning models in production. |
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| URL: | Aggregator: https://learning.oreilly.com/library/view/-/9781617297762VE/?ar |
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| Datenträger: | Online-Ressource |
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| Sprache: | und |
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| Sach-SW: | Apprentissage automatique ; Logiciels |
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| | Instructional films |
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| | Nonfiction films |
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| | Internet videos |
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| | Films de formation |
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| | Films autres que de fiction |
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| | Vidéos sur Internet |
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| K10plus-PPN: | 1899110259 |
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| Lokale URL UB: |  Zum Volltext |
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| | Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
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| |  Bestellen/Vormerken für Benutzer des Klinikums Mannheim
Eigene Kennung erforderlich |
| Bibliothek/Idn: | UW / m4568082226 |
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| Lokale URL Inst.: | Zum Volltext |
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MLOps Engineering at Scale, Video Edition; 2022 (Online-Ressource)
69245015
