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    Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps (English Edition)
    Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps (English Edition)
    Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps (English Edition)
    Ebook508 pages4 hours

    Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps (English Edition)

    By Raman Jhajj

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    About this ebook

    MLOps, a combination of DevOps, data engineering, and machine learning, is crucial for delivering high-quality machine learning results due to the dynamic nature of machine learning data. This book delves into MLOps, covering its core concepts, components, and architecture, demonstrating how MLOps fosters robust and continuously improving machine learning systems.

    By covering the end-to-end machine learning pipeline from data to deployment, the book helps readers implement MLOps workflows. It discusses techniques like feature engineering, model development, A/B testing, and canary deployments. The book equips readers with knowledge of MLOps tools and infrastructure for tasks like model tracking, model governance, metadata management, and pipeline orchestration. Monitoring and maintenance processes to detect model degradation are covered in depth. Readers can gain skills to build efficient CI/CD pipelines, deploy models faster, and make their ML systems more reliable, robust and production-ready.

    Overall, the book is an indispensable guide to MLOps and its applications for delivering business value through continuous machine learning and AI.
    LanguageEnglish
    PublisherBPB Online LLP
    Release dateDec 12, 2023
    ISBN9789355516190
    Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps (English Edition)

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      Mastering MLOps Architecture - Raman Jhajj

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