April 2022
Intermediate to advanced
348 pages
7h 42m
English
Content preview from Artificial Intelligence with Power BI
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Chapter 5: Detecting Anomalies in Your Data Using Power BI
Anomaly detection is used when unexpected and rare events need to be identified. Some anomalies are clear outliers and show up as easily recognizable spikes in data. However, some anomalies are more subtle than that and require machine learning (ML) to be detected.
What an anomaly represents depends on the situation. Most commonly, anomaly detection is used for predictive maintenance, when monitoring—for example—an engine. The temperature of an engine can be measured and visualized and is expected to fluctuate. However, whenever the temperature increases or decreases significantly and unexpectedly, it is a cause for concern and a reason to further investigate.
Power BI has an out-of-the-box ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.