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Real-Time Intelligence with Microsoft Fabric

Empowering Data-Driven Decisions in the Era of AI

Frank Geisler & Johan Ludvig Brattas

Real-Time Intelligence with Microsoft Fabric

Real-Time Intelligence with Microsoft Fabric

Empowering Data-Driven Decisions in the Era of AI

Real-Time Intelligence with Microsoft Fabric

 

If you're ready to unlock the power of immediate insights, this comprehensive primer offers an exploration into the capabilities of Real-Time Intelligence with Microsoft Fabric. Authors Johan Ludvig Brattas and Frank Geisler explain AI-driven insights and how to use them to drive business success.

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Beschrijving Real-Time Intelligence with Microsoft Fabric

If you're ready to unlock the power of immediate insights, this comprehensive primer offers an exploration into the capabilities of Real-Time Intelligence with Microsoft Fabric. Authors Johan Ludvig Brattas and Frank Geisler explain AI-driven insights and how to use them to drive business success.

ISBN
9781098178581
Pagina's
300
Verschenen
Rubriek
Databases
Druk
1
Uitvoering
Paperback
Taal
Engels
Uitgever
O'Reilly Media

AI for Time Series

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries.

AI for Time Series

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries.

A Mathematical Introduction to Data Science with Python

This textbook serves as a companion to "A Mathematical Introduction to Data Science". It uses Python programming to provide a comprehensive foundation in the mathematics needed for data science. It is designed for anyone with a basic mathematical background, including students and self-learners interested in understanding the principles behind the computational algorithms used in data science.

Databases

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