Nowadays, we are flooded on all sides with an enormous amount of data. Large companies store vast amounts of statistical information, production, or financial reports. More and more often, we want or ...
Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding fraudulent login events and fake news items. Take a look at the demo ...
What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...
A liver cancer diagnosis frequently leads to surgery, with the goal of completely removing all malignant tissue. To ensure ...
Organizations today rely heavily on data to inform their decision-making processes at every level. However, the increasing complexity of data ecosystems poses a challenge: The data we rely on may not ...
Dr. techn. Ulrich Krispel ulrich.krispel@fraunhofer.at ...
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