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&...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Pumperla, Max (Autor), Oakes, Edward (Autor), Liaw, Richard (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, California : O'Reilly Media, Inc., 2023.
Edición:Frist edtion.
Temas:
Application program interfaces (Computer software)
Machine learning.
Python (Computer program language)
Artificial intelligence.
Electronic data processing > Distributed processing.
Interfaces de programmation d'applications.
Apprentissage automatique.
Python (Langage de programmation)
Intelligence artificielle.
Traitement réparti.
APIs (interfaces)
artificial intelligence.
Artificial intelligence
Electronic data processing > Distributed processing
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
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:9781098117191
1098117190

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