Mlops de mnv viswanadh (6 resultados)

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  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798197754738

    Serie: Libro 1 de 2 - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING SERIES

    • Tapa blanda

    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 14,24

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798197754738

    Serie: Libro 1 de 2 - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING SERIES

    • Tapa blanda

    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 13,42

    Envío por EUR 3,83 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently Published Mai 2026, 2026

    9798197754738

    Serie: Libro 1 de 2 - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING SERIES

    • Tapa blanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 15,49

    Envío por EUR 30,50 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. Neuware - Master the complete lifecycle of Machine Learning operations with practical MLOps techniques and modern AI deployment strategies.MLOps is a comprehensive guide designed for students, developers, researchers, and AI enthusiasts who want to understand how machine learning models are developed, deployed, monitored, and maintained in real-world environments.This book explains the integration of Machine Learning, DevOps, and Data Engineering practices to build scalable, reliable, and production-ready AI systems. Readers will explore the complete MLOps pipeline, from data preparation and model training to deployment, automation, monitoring, and continuous improvement.Inside This Book: Perfect For: This book provides a practical and industry-oriented approach to understanding MLOps, helping readers build modern, scalable, and efficient machine learning solutions for real-world applications.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798197754738

    Serie: Libro 1 de 2 - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING SERIES

    • Tapa blanda
    • Impresión bajo demanda

    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 13,46

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Paperback. Condición: new. Paperback. Master the complete lifecycle of Machine Learning operations with practical MLOps techniques and modern AI deployment strategies.MLOps is a comprehensive guide designed for students, developers, researchers, and AI enthusiasts who want to understand how machine learning models are developed, deployed, monitored, and maintained in real-world environments.This book explains the integration of Machine Learning, DevOps, and Data Engineering practices to build scalable, reliable, and production-ready AI systems. Readers will explore the complete MLOps pipeline, from data preparation and model training to deployment, automation, monitoring, and continuous improvement.Inside This Book: Perfect For: This book provides a practical and industry-oriented approach to understanding MLOps, helping readers build modern, scalable, and efficient machine learning solutions for real-world applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Independently published, 2026

    9798197754738

    Serie: Libro 1 de 2 - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING SERIES

    • Tapa blanda
    • Impresión bajo demanda

    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 14,36

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New. Print on Demand.

  • Idioma: Inglés

    Editorial: Independently Published, 2026

    9798197754738

    Serie: Libro 1 de 2 - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING SERIES

    • Tapa blanda
    • Impresión bajo demanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 16,77

    Envío por EUR 43,06 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponibles

    Paperback. Condición: new. Paperback. Master the complete lifecycle of Machine Learning operations with practical MLOps techniques and modern AI deployment strategies.MLOps is a comprehensive guide designed for students, developers, researchers, and AI enthusiasts who want to understand how machine learning models are developed, deployed, monitored, and maintained in real-world environments.This book explains the integration of Machine Learning, DevOps, and Data Engineering practices to build scalable, reliable, and production-ready AI systems. Readers will explore the complete MLOps pipeline, from data preparation and model training to deployment, automation, monitoring, and continuous improvement.Inside This Book: Perfect For: This book provides a practical and industry-oriented approach to understanding MLOps, helping readers build modern, scalable, and efficient machine learning solutions for real-world applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.