Khanuja M Applied Machine Learning and High-Performance Computing on AWS 2022
General:
Name: Khanuja M Applied Machine Learning and High-Performance Computing on AWS 2022
Format: pdf
Size: 20.53 MB
Book:
Title: 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
Language: angielski
Year: 2022
Subjects: Computers, Computers – General & Miscellaneous, General & Miscellaneous Computing
Publisher: Packt Publishing
ISBN: 9781803244440
Total pages: 382
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.
By the end of this book, you’ll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.
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