Applied Machine Learning And High-performance Computing On Aws Accelerate The De

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 Features:understand 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 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.