No detailed description available for "Automated Machine Learning on AWS".
Sprache
Verlagsort
Basel/Berlin/Boston
Großbritannien
Zielgruppe
Editions-Typ
Produkt-Hinweis
Dateigröße
ISBN-13
978-1-80181-452-2 (9781801814522)
Schweitzer Klassifikation
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.
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
