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<span xml:lang="en">Applied Machine Learning and High-Performance Computing on AWS: Accelerate the development of machine learning applications following architectural best practices</span>

Khanuja, Mani

Potgieter, Trenton

Sabir, Farooq

Subramanian, Shreyas

Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook DescriptionMachine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications.

Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles,...

Applied Machine Learning and High-Performance Computing on...

Format

Applied Machine Learning and High-Performance Computing on AWS

Accelerate the development of machine learning applications following architectural best practices

Mani Khanuja

Trenton Potgieter

Farooq Sabir

Shreyas Subramanian

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