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Applied Machine Learning and High-Performance Computing on AWS : Accelerate the Development of Machine Learning Applications Following Architectural Best Practices by Mani Khanuja; Farooq Sabir; Shreyas Subramanian; Trenton Potgieter is a nonfiction available to read on EtoBox.

What is Applied Machine Learning and High-Performance Computing on AWS : Accelerate the Development of Machine Learning Applications Following Architectural Best Practices about?

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 SageMaker Key Features Understand the need for high-performance computing (HPC) Build, train, and deploy large ML models with billions of parameters using Amazon SageMaker Learn best practices and architectures for implementing ML at scale using HPC Book Description Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles. This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you'll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases. B

Who reads Applied Machine Learning and High-Performance Computing on AWS : Accelerate the Development of Machine Learning Applications Following Architectural Best Practices?

Author

Mani Khanuja; Farooq Sabir; Shreyas Subramanian; Trenton Potgieter

Publisher

Packt Publishing, Limited

Published

2022

Language

EN

ISBN

9781803244440

Category

nonfiction

Subjects

Computer Science, Science, Artificial Intelligence (Ai)