MLOps Mastery: Building and Scaling Trustworthy AI Systems and Robust ML Pipelines with Machine Learning Operations
by: Mason Leblanc (Author)
Publication Date: February 22, 2024
Language:English
Print Length:236 pages
ISBN-13:9798882512414
Book Description
Machine learning holds immense potential, but its real-world impact hinges on trust and reliability. MLOps, the bridge between ML development and operations, empowers you to build and scale robust systems that deliver consistent valueThis book equips you with the knowledge and tools to navigate the complexities of MLOps. Gain insights from practical case studies and proven methodologies, ensuring your ML projects transition seamlessly from development to production.This book will help you:Master the MLOps Methodology: Demystify the entire ML lifecycle, from data pipelines and model training to deployment, monitoring, and governance.Build Trustworthy Systems: Implement best practices for bias detection, explainability, and fairness, ensuring your models align with ethical and regulatory standards.Scale with Confidence: Explore robust infrastructure and automation techniques to handle increasing data volumes and model complexity.Choose the Right Tools: Navigate the ever-evolving MLOps landscape and select the technologies that best suit your specific needs and goals.About the Reader:This book is for you if you are:Machine Learning Engineers: Elevate your skills and confidently build, deploy, and manage production-grade ML systems.Data Scientists: Bridge the gap between model development and real-world impact with MLOps best practices.DevOps Engineers: Expand your skillset to encompass the unique requirements of ML deployments and operations.Business Leaders: Understand the value of MLOps and make informed decisions about adopting this critical technology.Ready to start your MLOps journey now? Get your copy of "MLOps Mastery" and build the future of reliable and scalable machine learning.
About the Author
Machine learning holds immense potential, but its real-world impact hinges on trust and reliability. MLOps, the bridge between ML development and operations, empowers you to build and scale robust systems that deliver consistent valueThis book equips you with the knowledge and tools to navigate the complexities of MLOps. Gain insights from practical case studies and proven methodologies, ensuring your ML projects transition seamlessly from development to production.This book will help you:Master the MLOps Methodology: Demystify the entire ML lifecycle, from data pipelines and model training to deployment, monitoring, and governance.Build Trustworthy Systems: Implement best practices for bias detection, explainability, and fairness, ensuring your models align with ethical and regulatory standards.Scale with Confidence: Explore robust infrastructure and automation techniques to handle increasing data volumes and model complexity.Choose the Right Tools: Navigate the ever-evolving MLOps landscape and select the technologies that best suit your specific needs and goals.About the Reader:This book is for you if you are:Machine Learning Engineers: Elevate your skills and confidently build, deploy, and manage production-grade ML systems.Data Scientists: Bridge the gap between model development and real-world impact with MLOps best practices.DevOps Engineers: Expand your skillset to encompass the unique requirements of ML deployments and operations.Business Leaders: Understand the value of MLOps and make informed decisions about adopting this critical technology.Ready to start your MLOps journey now? Get your copy of "MLOps Mastery" and build the future of reliable and scalable machine learning.
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