Hoarau Time Series Analysis on AWS

Learn how to build forecasting models and detect anomalies in your time series data
1. Auflage 2022
ISBN: 978-1-80181-402-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 458 Seiten

No detailed description available for "Time Series Analysis on AWS".

Autoren/Hrsg.

Hoarau, Michaël

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - An Overview of Time Series Analysis
- An Overview of Amazon Forecast

- Creating a Project and Ingesting Your Data
- Training a Predictor with AutoML
- Customizing Your Predictor Training
- Generating New Forecasts
- Improving and Scaling Your Forecast Strategy
- An Overview of Amazon Lookout for Equipment
- Creating a Dataset and Ingesting Your Data
- Training and Evaluating a Model
- Scheduling Regular Inferences
- Reducing Time to Insights for Anomaly Detections
- An Overview of Amazon Lookout for Metrics
- Creating and Activating a Detector
- Viewing Anomalies and Providing Feedback

Über Autor(innen)

Hoarau Michaël:

Michaël Hoarau is an AI/ML specialist solutions architect (SA) working at Amazon Web Services (AWS). He is an AWS Certified Associate SA. He previously worked as an AI/ML specialist SA at AWS and the EMEA head of data science at GE Digital. He has experience in building product quality prediction systems for multiple industries. He has used forecasting techniques to build virtual sensors for industrial production lines. He has also helped multiple customers build forecasting and anomaly detection systems to increase their business efficiency.