Kubeflow for Machine Learning
If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models sc… Celý popis ↓
Porovnanie cien Kubeflow for Machine Learning
Popis Kubeflow for Machine Learning
Kubeflow for Machine Learning
If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliable.Using examples throughout the book, authors Holden Karau, Trevor Grant, Ilan Filonenko, Richard Liu, and Boris Lublinsky explain how to use Kubeflow to train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises.Understand Kubeflow's design, core components, and the problems it solves Understand the differences between Kubeflow on different Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to model serving.
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