Collier / Montonen / Azarmi Machine Learning with the Elastic Stack

Gain valuable insights from your data with Elastic Stack's machine learning features
2. Auflage 2021
ISBN: 978-1-80107-846-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 450 Seiten

No detailed description available for "Machine Learning with the Elastic Stack".

Autoren/Hrsg.

Collier, Rich

Montonen, Camilla

Azarmi, Bahaaldine

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

Table of Contents - Machine Learning for IT
- Enabling and Operationalization
- Anomaly Detection
- Forecasting
- Interpreting Results

- Alerting on ML Analysis
- AIOps and Root Cause Analysis
- Anomaly Detection in Other Elastic Stack Apps
- Introducing Data Frame Analysis
- Outlier Detection
- Classification Analysis
- Regression
- Inference
- Appendix: Anomaly Detection Tips

Über Autor(innen)

Collier Rich:

Rich Collier is a solutions architect at Elastic. Joining the Elastic team from the Prelert acquisition, Rich has over 20 years' experience as a solutions architect and pre-sales systems engineer for software, hardware, and service-based solutions. Rich's technical specialties include big data analytics, machine learning, anomaly detection, threat detection, security operations, application performance management, web applications, and contact center technologies. Rich is based in Boston, Massachusetts.Montonen Camilla:

Camilla Montonen is a Senior Machine Learning Engineer at Elastic.Azarmi Bahaaldine:

Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.