Learning Ray : flexible distributed Python for machine learning

Learning Ray flexible distributed Python for machine learning

Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You&...

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Detalles Bibliográficos
Otros Autores: Pumperla, Max, author (author), Oakes, Edward, author, Liaw, Richard, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Sebastopol, California : O'Reilly Media, Inc 2023.
Edición:Frist edtion
Materias:
Application program interfaces (Computer software)
Machine learning.
Python (Computer program language)
Artificial intelligence.
Electronic data processing > Distributed processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009720732206719
Descripción
Sumario:Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.
Descripción Física:1 online resource
ISBN:9781098117214

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