Data Analysis

Causal inference: An introduction on how to...
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Causal inference: An introduction on how to separate causal effects from spurious correlations in data

Posted in Analytics, Big Data, Data Science, Dependable AI / Verlässliche KI, Künstliche Intelligenz, Machine Learning Published on Authors

While „correlation does not imply causation“, it is possible to identify causal effects even in data that does not come from randomized controlled trials. Our AI expert, Dr. Julien Siebert, just published a paper (link) on the applications of statistical…

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Time Series Analysis: Outlier Detection
Time Traveling with Data Science: Outlier...
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Time Traveling with Data Science: Outlier Detection (Part 3)

Posted in Analytics, Big Data, Data Science, Dependable AI / Verlässliche KI, Fraunhofer IESE-Blog, Künstliche Intelligenz, Machine Learning Published on Authors , und

In our blog series on „Time Traveling with Data Science“, we previously introduced different tasks in time series analysis. In this blog post, we now present the task of Outlier Detection. Outliers are data so different from others that one…

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