9798197709158 - mlops engineering with python: production machine learning pipelines, deployment, monitoring, and infrastructure de kanegi, takehiro (3 resultados)
- Tapa blanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 59,71
Envío por EUR 63,28Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Reactive PublishingMLOps Engineering with Python is a practical guide to building, deploying, and maintaining machine learning systems in production environments.This book introduces the core engineering practices behind modern machine learning operations, including pipeline design, model p…ackaging, deployment workflows, monitoring, version control, automation, and infrastructure planning. Rather than treating machine learning as a one-time modeling exercise, it focuses on the full operational lifecycle required to move models from experimentation into reliable production use.Readers will learn how Python-based tools and workflows can support reproducible machine learning pipelines, structured deployment processes, model performance tracking, and scalable system design. The book also examines the engineering tradeoffs involved in managing data, features, models, environments, and production feedback loops.Designed for machine learning engineers, data scientists, software developers, and technical teams working with production AI systems, this guide provides a structured foundation for understanding how MLOps connects machine learning development with real-world operational reliability.
- Tapa blanda
- Impresión bajo demanda
Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 42,34
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 46,50
Envío por EUR 43,41Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Reactive PublishingMLOps Engineering with Python is a practical guide to building, deploying, and maintaining machine learning systems in production environments.This book introduces the core engineering practices behind modern machine learning operations, including pipeline design, model pa…ckaging, deployment workflows, monitoring, version control, automation, and infrastructure planning. Rather than treating machine learning as a one-time modeling exercise, it focuses on the full operational lifecycle required to move models from experimentation into reliable production use.Readers will learn how Python-based tools and workflows can support reproducible machine learning pipelines, structured deployment processes, model performance tracking, and scalable system design. The book also examines the engineering tradeoffs involved in managing data, features, models, environments, and production feedback loops.Designed for machine learning engineers, data scientists, software developers, and technical teams working with production AI systems, this guide provides a structured foundation for understanding how MLOps connects machine learning development with real-world operational reliability. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
