Applied Machine Learning and High-Performance Computing on AWS
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 vehicles, computational fluid dynamics, and numerical optimization.
Offered by
Difficulty Level
Intermediate
Completion Time
12h44m
Language
English
About Book
Who Is This Book For?
The book begins with HPC concepts, however, it expects you to have prior machine learning knowledge. This book is for ML engineers and data scientists interested in learning advanced topics on using large datasets for training large models using distributed training concepts on AWS, deploying models at scale, and performance optimization for low latency use cases. Practitioners in fields such as numerical optimization, computation fluid dynamics, autonomous vehicles, and genomics, who require HPC for applying ML models to applications at scale will also find the book useful.
Applied Machine Learning and High-Performance Computing on AWS
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h44m total length
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
Related Resources
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