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The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS
book

The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS

by Neel Sendas, Deepali Rajale
January 2025
Intermediate to advanced
448 pages
9h 22m
English
Apress
Content preview from The Definitive Guide to Machine Learning Operations in AWS: Machine Learning Scalability and Optimization with AWS
Index
A
Activation-aware Weight Quantization (AWQ)
Amazon Augmented AI (A2I)
Amazon Machine Images (AMIs)
Amazon Music
BART transformer model
business goal
challenges
deep learning
G5 instances
GPU utilization
inference latency
outcomes
platform
solutions
Amazon Simple Storage Service (Amazon S3)
Amazon Web Services (AWS)
automate operations
CI/CD
components
cost optimization
data management/processing
Lake House architecture
low-code (no-code)services
SageMaker
self-managed cluster
Spark process
visualization
deployment
Kubernetes service
latency/scalability
real-time vs. batch inference
evolution of
Fargate
generative AI
Lambda
lineage tracking model
logging/auditing
microservices
monitoring/observability service
NatWest
operational excellence
performance efficiency
reliability
retraining/updating ...
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Publisher Resources

ISBN: 9798868810763Purchase LinkPublisher Website