Beaumont Power BI Machine Learning and OpenAI

Explore data through business intelligence, predictive analytics, and text generation
1. Auflage 2024
ISBN: 978-1-83763-433-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 308 Seiten

No detailed description available for "Power BI Machine Learning and OpenAI".

Autoren/Hrsg.

Beaumont, Greg

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - Requirements, Data Modeling, and Planning
- Preparing and Ingesting Data with Power Query
- Exploring Data using Power BI and Creating a Semantic Model
- Model Data for Machine Learning in Power BI
- Discovering Features Using Analytics and AI Visuals
- Discovering New Features Using R and Python visuals
- Deploying Data Ingestion and Transformation Components to the Power BI Cloud Service
- Building Machine Learning Models with Power BI
- Evaluating Trained and Tested ML Models
- Iterating Power BI ML Models
- Applying Power BI ML Models
- Use Cases for OpenAI
- Using OpenAI and Azure OpenAI in Power BI Dataflows
- Project Review and Looking Forward

Über Autor(innen)

Beaumont Greg :

Greg Beaumont is a data architect at Microsoft, where he enjoys identifying and solving complex problems backed by his experience in data architecture and a passion for innovation. Focusing on the healthcare industry, Greg works closely with customers to plan enterprise analytics strategies, evaluate new tools and products, conduct training sessions and hackathons, and architect solutions that improve the quality of care and reduce costs. He strives to be a trusted advisor to his customers and is always seeking new ways to drive progress and help organizations thrive. He is a veteran of the Microsoft data speaker network and has worked with hundreds of customers on their data management and analytics strategies.