Masood Automated Machine Learning

Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
1. Auflage 2021
ISBN: 978-1-80056-552-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 312 Seiten

No detailed description available for "Automated Machine Learning".

Autoren/Hrsg.

Masood, Adnan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Business Application Groupware
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - A Lap around Automated Machine Learning
- Automated Machine Learning, Algorithms, and Techniques
- Automated Machine Learning with Open Source Tools and Libraries
- Getting Started with Azure Machine Learning
- Automated Machine Learning with Microsoft Azure
- Machine Learning with Amazon Web Services
- Doing Automated Machine Learning with Amazon SageMaker Autopilot
- Machine Learning with Google Cloud Platform
- Automated Machine Learning with GCP Cloud AutoML
- AutoML in the Enterprise

Über Autor(innen)

Masood Adnan:

Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.