Potgieter Automated Machine Learning on AWS

Fast-track the development of your production-ready machine learning applications the AWS way
1. Auflage 2024
ISBN: 978-1-80181-452-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 420 Seiten

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

Autoren/Hrsg.

Potgieter, Trenton

Weitere Mitwirkende

Dahlberg, Jonathan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Table of Contents - Getting Started with Automated Machine Learning on AWS
- Automating Machine Learning Model Development Using SageMaker Autopilot
- Automating Complicated Model Development with AutoGluon
- Continuous Integration and Continuous Delivery (CI/CD) for Machine Learning
- Continuous Deployment of a Production ML Model
- Automating the Machine Learning Process Using AWS Step Functions
- Building the ML Workflow Using AWS Step Functions
- Automating the Machine Learning Process Using Apache Airflow
- Building the ML Workflow Using Amazon Managed Workflows for Apache Airflow
- An Introduction to the Machine Learning Software Development Lifecycle (MLSDLC)
- Continuous Integration, Deployment, and Training for the MLSDLC

Über Autor(innen)

Potgieter Trenton :

Trenton Potgieter is an expert technologist with 25 years of both local and international experience across multiple aspects of an organization; from IT to sales, engineering, and consulting, on the cloud and on-premises. He has a proven ability to analyze, assess, recommend, and design appropriate solutions that meet key business criteria, as well as present and teach them from engineering to executive levels.