Isbn: 9798272501400 - the mlops blueprint: build reliable machine learning systems that scale, monitor, and deliver real business value. (6 resultados)

- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 27,87
Envío por EUR 2,36Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.

- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 29,81
Envío por EUR 2,36Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.

- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 29,91
Envío por EUR 17,75Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.

- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 30,31
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 30,34
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.

- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 34,12
Envío por EUR 43,79Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…