eBook - ePub
Essential Kubeflow
Engineering ML Workflows on Kubernetes
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
Essential Kubeflow: Engineering ML Workflows on Kubernetes provides the tools needed to transform ML workflows from experimental notebooks to production-ready platforms. Through hands-on examples and production-tested patterns, readers will master essential skills for building enterprise-grade Machine Learning platforms, including architecting production systems on Kubernetes, designing end-to-end ML pipelines, implementing robust model serving, efficiently scaling workloads, managing multi-user environments, deploying automated MLOps workflows, and integrating with existing ML tools. Whether you're a Machine Learning engineer looking to operationalize models, a platform engineer diving into ML infrastructure, or a technical leader architecting ML systems, this book provides solutions for real-world challenges.With this comprehensive guide to Kubeflow, a widely adopted open source MLOps platforms for automating ML workloads, readers will have the expertise to build and maintain scalable ML platforms that can handle the demands of modern enterprise AI initiatives.
- Provides readers with a comprehensive, step-by-step guide to building reliable ML pipelines with automated workflows, testing, and deployment using Kubeflow's pipeline components
- Includes clear strategies for monitoring ML workloads, managing resources, handling multi-user environments, and maintaining production platforms at scale
- Presents proven solutions and architectural patterns drawn from actual production deployments, showing readers how to avoid common pitfalls and accelerate ML initiatives
Information
Subtopic
Business IntelligenceIndex
Computer ScienceTable of contents
- Title of Book
- Part I: Foundation
- Part II: Building machine learning workflows
- Part III: Model development and training
- Part IV: Model deployment and production operations
- Index
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Yes, you can access Essential Kubeflow by Prashanth Josyula,Sonika Arora,Anant Kumar in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Intelligence. We have over 1.5 million books available in our catalogue for you to explore.