Machine Learning with Kubernetes - Dunagan, Martin
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Are you ready to build and deploy cutting-edge machine learning applications that can scale, adapt, and handle real-world demands? "Machine Learning with Kubernetes: A Hands-On Guide to Building, Deploying, and Managing Intelligent Applications" is your comprehensive guide to harnessing the combined power of Kubernetes and machine learning. This book provides a practical, hands-on approach to building, deploying, and managing intelligent applications at scale. Inside, you'll discover how to: * Master the fundamentals: Understand the core concepts of Kubernetes and the machine learning…mehr

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Are you ready to build and deploy cutting-edge machine learning applications that can scale, adapt, and handle real-world demands? "Machine Learning with Kubernetes: A Hands-On Guide to Building, Deploying, and Managing Intelligent Applications" is your comprehensive guide to harnessing the combined power of Kubernetes and machine learning. This book provides a practical, hands-on approach to building, deploying, and managing intelligent applications at scale. Inside, you'll discover how to: * Master the fundamentals: Understand the core concepts of Kubernetes and the machine learning workflow. * Containerize your applications: Package your models and dependencies into portable and reproducible Docker containers. * Orchestrate complex pipelines: Build and manage scalable machine learning pipelines with Argo and Kubeflow. * Deploy for various use cases: Expose your models as REST APIs, gRPC services, or batch prediction systems. * Scale your applications: Automatically scale your deployments to handle fluctuating workloads. * Optimize for performance and cost: Efficiently manage resources and leverage GPUs for acceleration. * Secure your deployments: Implement robust security measures to protect your valuable data and models. * Explore advanced topics: Discover serverless machine learning, federated learning, and edge AI. This book is for you if you are: * A machine learning engineer or data scientist looking to deploy models in production. * A software developer interested in building scalable and reliable AI applications. * A DevOps engineer responsible for managing machine learning infrastructure. * Anyone who wants to learn how to leverage Kubernetes for machine learning. Gain a competitive edge by mastering the skills needed to build and deploy intelligent applications.Accelerate your machine learning workflows and bring your models to production faster.Unlock the full potential of your data and build innovative solutions that can transform your business. Don't wait! Start your journey to mastering machine learning with Kubernetes today!
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