Parameter
- 389 Seiten
- 14 Lesestunden
Mehr zum Buch
Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book featuring hands-on examples in Power BI with basic Python and R code, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, images files. Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists.
Buchkauf
AI-Powered Business Intelligence, Tobias Zwingmann
- Sprache
- Erscheinungsdatum
- 2022
- product-detail.submit-box.info.binding
- (Paperback)
Keiner hat bisher bewertet.
- Titel
- AI-Powered Business Intelligence
- Untertitel
- Improving Forecasts and Decision Making with Machine Learning
- Sprache
- Englisch
- Autor*innen
- Tobias Zwingmann
- Verlag
- O'Reilly Media
- Erscheinungsdatum
- 2022
- Einband
- Paperback
- Seitenzahl
- 389
- ISBN10
- 1098111478
- ISBN13
- 9781098111472
- Reihe
- Schlagwörter
- Handel, Computer & Internet, Ökonomie, Künstliche Intelligenz, Datenverarbeitung, Maschinelles Lernen
- Beschreibung
- Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book featuring hands-on examples in Power BI with basic Python and R code, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, images files. Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists.