Applied machine learning and high performance computing on AWS accelerate development of machine learning applications following architectural best practices

With this book, you'll learn how to develop large-scale machine learning applications using high-performance computing on Amazon Web Services. In addition, you'll understand architectural components, performance optimization, and real-world use cases in domains like genomics, autonomous ve...

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Detalles Bibliográficos
Otros Autores: Khanuja, Mani, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing [2022]
Edición:1st ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009711795806719
Tabla de Contenidos:
  • Table of Contents High-Performance Computing Fundamentals Data Management and Transfer Compute and Networking Data Storage Data Analysis Distributed Training of Machine Learning Models Deploying Machine Learning Models at Scale Optimizing and Managing Machine Learning Models for Edge Deployment Performance Optimization for Real-Time Inference Data Visualization Computational Fluid Dynamics Genomics Autonomous Vehicles Numerical Optimization.