Announcing the deprecation of creation of machine learning models in Power BI using Dataflows V1
Announcing the deprecation of creation of machine learning models in Power BI using Dataflows V1
» ์์ธํ ๋ณด๊ธฐ๊ฒ์์: Ancy Philip
Announcing public preview of Insights
The Insights feature helps users easily explore and find insights such as anomalies, trends in their data as they interact and consume their reports.
» ์์ธํ ๋ณด๊ธฐAnomaly detection (preview)
ย Anomaly detection helps you enhance your line charts by automatically detecting anomalies in your time series data. It also provides explanations for the anomalies to help with root cause analysis.ย With just a couple of clicks, you can easily find insights without slicing and dicing the data.
» ์์ธํ ๋ณด๊ธฐSmart Narrative (preview)
The Smart narrative visualization helps you quickly summarize visuals and reports by providing relevant out-of-the-box insights that are customizable.
» ์์ธํ ๋ณด๊ธฐAutoML now supports applying models in PQO Function Browser
Previously, AutoML models could only be applied to entities in the same dataflow. With this new capability, users don’t need to be an owner of the dataflow that has the model.ย They can use models created by others in the same workspace.
» ์์ธํ ๋ณด๊ธฐAnnouncing Automated Machine learning in Power BI general availability
Weโre happy to announce that Auto ML in Power BI is generally available in all public cloud regions where Power BI Premium and Embedded is available. Using Auto ML in Power BI, business analysts can build ML models to solve business problems that once required data scientists.
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