Trevor, Grant
Kubeflow for Machine Learning: From Lab to Production
- ISBN 13:
- 9781492050124
- author:
- Trevor, Grant
- format:
- Paperback / softback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2020
- Pages:
- 130
- Dimensions:
- 23.3 x 17.8 centimeters (0.67 kg
- Genre:
- Computers, Artificial Intelligence, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Kubeflow for Machine Learning From Lab to Production is a comprehensive guide to deploying machine learning models in production. This book provides a collection of cloud-native tools for different stages of a model's lifecycle, from data exploration and feature preparation to model training and serving.
With Kubeflow, you can train and serve your machine learning models on top of Kubernetes in the cloud or in a development environment on-premises. The authors explain how to use Kubeflow to build production-grade machine learning implementations, including how to train models using popular tools such as Scikit-learn, TensorFlow, and Apache Spark.
Learn how to keep your model up to date with Kubeflow Pipelines, capture model training book details, and extend Kubeflow with additional open-source tools. This book is ideal for data scientists and engineers looking to deploy machine learning models in production using Kubeflow.
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