Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Mastering MLOps Architecture: From Code to Deployment: Manage the Production Cycle of Continual Learning ML Models with MLOps

Mastering MLOps Architecture: From Code to Deployment: Manage the Production Cycle of Continual Learning ML Models with MLOps

Jhajj, Raman

Paperback

General ComputersProgramming

ISBN10: 9355519494
ISBN13: 9789355519498
Publisher: Bpb Publications
Published: Jan 14 2024
Pages: 226
Weight: 0.87
Height: 0.48 Width: 7.50 Depth: 9.25
Language: English
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.

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