English | 2020 | ISBN: 1492050121 | 264 pages | True EPUB | 10.56 MB
If you're training a machine learning model but aren't sure how to put it into production, this book will get you there.
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. This guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data eeers how to make models scalable and reliable.
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