Kubeflow for Machine Learning Book Reviews
Kubeflow for Machine Learning by Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu & Ilan Filonenko Book Summary
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 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 solvesUnderstand the differences between Kubeflow on different cluster typesTrain models using Kubeflow with popular tools including Scikit-learn, TensorFlow, and Apache SparkKeep your model up to date with Kubeflow PipelinesUnderstand how to capture model training metadataExplore how to extend Kubeflow with additional open source toolsUse hyperparameter tuning for trainingLearn how to serve your model in production
Book Name | Kubeflow for Machine Learning |
Genre | Computers & Internet |
Author | Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu & Ilan Filonenko |
Published | 13 October 2020, Tuesday |
Language | English |
E-Book Size | 12.28 MB |
Kubeflow for Machine Learning (Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu & Ilan Filonenko) Book Reviews 2024
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Download Link | Book Format |
kubeflow-for-machine-learning-ebook.pdf | |
kubeflow-for-machine-learning-ebook.epub | EPUB |
kubeflow-for-machine-learning-ebook.kindle | KINDLE |
Kubeflow for Machine Learning E-book (PDF, PUB, KINDLE) Download
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Summary of Kubeflow for Machine Learning by Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu & Ilan Filonenko
The Kubeflow for Machine Learning book written by Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu & Ilan Filonenko was published on 13 October 2020, Tuesday in the Computers & Internet category. A total of 6 readers of the book gave the book 0 points out of 5.
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