Lat Machine Learning Engineering on AWS

Build, scale, and secure machine learning systems and MLOps pipelines in production
1. Auflage 2022
ISBN: 978-1-80323-138-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 530 Seiten

No detailed description available for "Machine Learning Engineering on AWS".

Autoren/Hrsg.

Lat, Joshua Arvin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

Table of Contents - Introduction to ML Engineering on AWS
- Deep Learning AMIs
- Deep Learning Containers
- Serverless Data Management on AWS
- Pragmatic Data Processing and Analysis
- SageMaker Training and Debugging Solutions
- SageMaker Deployment Solutions
- Model Monitoring and Management Solutions
- Security, Governance, and Compliance Strategies
- Machine Learning Pipelines with Kubeflow on Amazon EKS
- Machine Learning Pipelines with SageMaker Pipelines

Über Autor(innen)

Lat Joshua Arvin:
Joshua Arvin Lat is the Chief Technology Officer (CTO) of NuWorks Interactive Labs, Inc. He previously served as the CTO for three Australian-owned companies and as director of software development and engineering for multiple e-commerce start-ups in the past. Years ago, he and his team won first place in a global cybersecurity competition with their published research paper. He is also an AWS Machine Learning Hero and has shared his knowledge at several international conferences, discussing practical strategies on machine learning, engineering, security, and management.