Unlock the power of MLOps with MLOps in Practice: Automating Machine Learning Workflows from Training to Deployment . This comprehensive guide provides professionals and enthusiasts with the knowledge and practical steps to implement MLOps principles, ensuring efficient, automated, and scalable machine learning workflows. From model training and versioning to deployment and monitoring, this book covers everything you need to understand the lifecycle of machine learning projects. Whether you're looking to improve ...
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Unlock the power of MLOps with MLOps in Practice: Automating Machine Learning Workflows from Training to Deployment . This comprehensive guide provides professionals and enthusiasts with the knowledge and practical steps to implement MLOps principles, ensuring efficient, automated, and scalable machine learning workflows. From model training and versioning to deployment and monitoring, this book covers everything you need to understand the lifecycle of machine learning projects. Whether you're looking to improve collaboration across teams or streamline production environments, you'll find real-world insights, tools, and case studies to guide your journey. Inside, you'll explore: Key MLOps frameworks and practices Automation techniques for seamless integration of machine learning pipelines Effective versioning and model management for better collaboration Tools and platforms for continuous integration and deployment Real-world case studies and industry applications of MLOps Whether you're a data scientist, machine learning engineer, or DevOps professional, this book will empower you to take control of your machine learning projects, automate complex workflows, and ensure smooth deployments in production environments. Don't let manual workflows slow you down. Step into the world of MLOps and revolutionize your machine learning projects today!
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Add this copy of MLOps in Practice: Automating Machine Learning to cart. $13.68, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
