Collier / Azarmi Machine Learning with the Elastic Stack

Expert techniques to integrate machine learning with distributed search and analytics
1. Auflage 2019
ISBN: 978-1-78847-177-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 304 Seiten

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

Autoren/Hrsg.

Collier, Rich

Azarmi, Bahaaldine

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Machine Learning for IT
- Installing the Elastic Stack with Machine Learning
- Event Change Detection
- IT Operational Analytics and Root Cause Analysis
- Security Analytics with Elastic Machine Learning
- Alerting on ML Analysis
- Using Elastic ML data in Kibana dashboards
- Using Elastic ML with Kibana Canvas
- Forecasting
- ML Tips and Tricks

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.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.