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From Model to Market. MLOps Engineering: Versioning, Monitoring, and Deploying AI Models in Production (en Inglés)
Richard Boozman (Autor) · Independently published · Tapa Blanda
Quedan más de 100 unidades
$ 118.228Building a model is only the beginning.
The real challenge is turning that model into a reliable product that runs in production, scales with users, and continues to perform over time.
"From Model to Market" is a practical, engineering focused guide to MLOps. It shows you how to take AI models from experimentation to deployment using Python and modern production workflows.
This book focuses on the systems, processes, and tools required to manage machine learning at scale.
Without proper MLOps practices, even the best models fail in production.
Common challenges include:
lack of version control for models and datainconsistent training and deployment pipelinesperformance degradation over timedifficulty monitoring model behaviorunreliable deployment processesThis book teaches you how to solve these problems with structured approaches.
Throughout the book, you will learn how to:
structure machine learning projects for scalabilitytrack experiments and model versionsdeploy models as reliable servicesmonitor and improve models after deploymenthandle model drift and data changesbuild automated pipelines for continuous improvementEach chapter focuses on real engineering practices used in production.
These examples reflect real world AI deployment scenarios.
If you want to move beyond experimentation and build production ready AI systems, this book provides the roadmap.
Version with control.
Deploy with confidence.
Operate AI systems at scale.
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