Islam Machine Learning Model Serving Patterns and Best Practices

A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
1. Auflage 2022
ISBN: 978-1-80324-253-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 336 Seiten

No detailed description available for "Machine Learning Model Serving Patterns and Best Practices".

Autoren/Hrsg.

Islam, Md Johirul

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Introducing Model Serving
- Introducing Model Serving Patterns
- Stateless Model Serving
- Continuous Model Evaluation
- Keyed Prediction
- Batch Model Serving Pattern
- Online Learning Model Serving
- Two-Phase Model Pattern
- Pipeline Pattern Model Serving
- Ensemble Model Serving Pattern
- Business Logic Pattern
- Exploring Tensorflow Serving
- Using Ray Serve
- Using BentoML
- Serving ML Models using a Fully Managed Cloud Solution

Über Autor(innen)

Islam Md Johirul:
Md Johirul Islam is a Data Scientist and Machine Learning Researcher at AWS. He has a PhD in Computer Science and is also an adjunct professor at Purdue University. His expertise are focused on designing explainable, maintainable and robust data science pipeline applying the software design principles and helping organizations deploy Machine Learning models into production at Scale.