Compartir
Kubeflow for Machine Learning: From lab to Production
Grant Trevor; Holden Karau; Boris Lublinsky; Richard Liu; Ilan Filonenko (Autor)
·
· Tapa Blanda
Kubeflow for Machine Learning: From lab to Production - Grant Trevor; Holden Karau; Boris Lublinsky; Richard Liu; Ilan Filonenko
$ 34.99
$ 49.99
Ahorras: $ 15.00
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis ListasSe enviará desde nuestra bodega entre el
Lunes 20 de Mayo y el
Martes 21 de Mayo.
Lo recibirás en cualquier lugar de Estados Unidos entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Kubeflow for Machine Learning: From lab to Production"
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
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
Todos los libros de nuestro catálogo son Originales.
La encuadernación de esta edición es Tapa Blanda.
✓ Producto agregado correctamente al carro, Ir a Pagar.