Mastering MLOps Architecture: From Code to Deployment : Manage the production cycle of continual learning ML models with MLOps
by
Raman Jhajj
Book Details
Format
Paperback / Softback
ISBN-10
9355519494
ISBN-13
9789355519498
Publisher
BPB Publications
Imprint
BPB Publications
Country of Manufacture
IN
Country of Publication
GB
Publication Date
Oct 25th, 2023
Print length
226 Pages
Weight
376 grams
Dimensions
19.10 x 23.80 x 1.20 cms
Product Classification:
Machine learning
Ksh 5,800.00
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Comprehensive coverage of MLOps concepts, architecture, tools and techniques. Practical focus on building end-to-end ML Systems for Continual Learning with MLOps. Actionable insights on CI/CD, monitoring, continual model training and automated retraining.
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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