---
title: "Noah Gift og Yaron Haviv Implementing MLOps in the Enterprise"
brand: "Noah Gift og Yaron Haviv"
category: "Ukategoriseret"
price_min: 674
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/implementing-mlops-in-the-enterprise-326344
last_checked: 2026-07-19
---

# Noah Gift og Yaron Haviv Implementing MLOps in the Enterprise

Mærke: Noah Gift og Yaron Haviv · Kategori: Ukategoriseret

Sammenlign priser på Noah Gift og Yaron Haviv Implementing MLOps in the Enterprise fra 1 forhandler. Billigste pris nu: 674 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/implementing-mlops-in-the-enterprise-326344

## Priser
- **Billigste pris nu:** 674 kr hos Saxo DK

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 674 kr | — |

## Om produktet
With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you: Learn the MLOps process, including its technological and business value Build and structure effective MLOps pipelines Efficiently scale MLOps across your organization Explore common MLOps use cases Build MLOps pipelines for hybrid deployments, real-time predictions, and composite AI Learn how to prepare for and adapt to the future of MLOps Effectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy

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Kilde: PriceTracker. Fuld side med interaktiv prishistorik og købslinks: https://pricetracker.dk/p/implementing-mlops-in-the-enterprise-326344
Priserne er sidst kontrolleret 2026-07-19.