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Unsupervised machine learning with Python

December 5, 19:00

Berlin, Germany

External Registration

Open Registration Page

We will explore different unsupervised learning algorithms for tasks such as clustering, dimensionality reduction and anomaly detection using scikit-learn. We will gain hands-on experience on how to utilize them in different scenarios.
About the speaker: Kiril Ralinovsky is a cofounder and Lead Data Scientist at onwrks. Before that he researched distributed anomaly detection in the context of an Industry 4.0 project.
Gender policy  We want to make sure that we have at least 50% female attendees, so we ask our non female attendees to come with a female plus one.

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