The MLOps Blueprint: Build Reliable Machine Learning Systems That Scale, Monitor, and Deliver Real Business Value.

★★★★★ 4.5 88 Bewertungen

€11.60
Preis bei Onlinekauf
Kostenloser Versand 30 Tage kostenlose Rückgabe

Verkauft und versendet von agenciacoranto.com.ar
Wir bemühen uns, Ihnen genaue Produktinformationen anzuzeigen. Hersteller, Lieferanten und andere stellen die hier gezeigten Angaben bereit.
€11.60
Preis bei Onlinekauf
Kostenloser Versand 30 Tage kostenlose Rückgabe

Wie möchten Sie Ihren Artikel erhalten?
Die ersten 30 Tage sind kostenlos! Wählen Sie den Tarif an der Kasse.
Versand
Ankunft 28.09.
Kostenlos
Abholung
In der Nähe prüfen
Lieferung
Nicht verfügbar

Verkauft und versendet von agenciacoranto.com.ar
30 Tage kostenlose Rückgabe Details

Produktdetails

Artikelnummer 220491519 Erscheinungsdatum 2026/05/03 Listenpreis €11.60 Modellnummer 220491519
Kategorie

The MLOps Blueprint: Build Reliable Machine Learning Systems That Scale, Monitor, and Deliver Real Business ValueCan your machine learning models survive the real world?Most AI systems never make it past the prototype phase, not because the algorithms fail, but because the infrastructure around them does. From unreliable data pipelines to broken deployments and unseen model drift, the gap between an experiment and a production system is where most ML efforts collapse.The MLOps Blueprint is your complete, hands-on guide to bridging that gap. Written for engineers, data scientists, and technical leaders, this book delivers a clear, practical framework for designing, automating, and maintaining production-grade machine learning systems. It combines proven industry practices, step-by-step workflows, and real-world architectures that leading organizations use to scale AI safely and efficiently.Inside, you’ll learn how to:Build production-ready ML pipelines with reproducible data, code, and model versioning.Automate model training, testing, and deployment using robust CI/CD and continuous training (CT) frameworks.Deploy models with confidence using canary releases, blue-green deployments, and automated rollback mechanisms.Monitor models in production for performance, data drift, and fairness, all while linking metrics directly to business KPIs.Establish MLOps governance through traceability, compliance documentation, and secure access controls.Design scalable architectures that balance cost, latency, and reliability across cloud, on-prem, and edge environments.Whether you’re building your first ML platform or optimizing an existing workflow, The MLOps Blueprint gives you the practical tools and patterns to transform experimentation into impact. Each chapter is structured for immediate implementation, complete with runbooks, checklists, and code-driven solutions that minimize risk and accelerate delivery.If you’ve ever struggled to answer questions like “Can we reproduce this model?” or “How do we measure business ROI from our ML system?” this book provides the roadmap you need.Turn your models into measurable, reliable value. Start building scalable, production-grade AI systems today with The MLOps Blueprint. Read more

ISBN13 979-8272501400
Language English
Publisher Independently published
Dimensions 7 x 0.63 x 10 inches
Item Weight 1.07 pounds
Print length 277 pages
Publication date November 1, 2025

Korrektur der Produktinformationen

Wenn Sie Unvollständigkeiten oder Fehler in den Produktinformationen auf dieser Seite bemerken, nutzen Sie bitte das Korrekturformular unten.

Korrekturanfrage

Kundenbewertungen

4.5 von 5
★★★★★
88 Bewertungen | 36 Rezensionen
So wird die Artikelbewertung berechnet
Alle Bewertungen anzeigen
5 Sterne
83% (73)
4 Sterne
4% (4)
3 Sterne
2% (2)
2 Sterne
1% (1)
1 Stern
10% (9)
Sortieren nach

Für dieses Produkt liegen derzeit keine schriftlichen Bewertungen vor.