An Introduction to Anomaly Detection

Please join us on Thursday, April 20th, as we look into several applications of anomaly detection before diving into statistical and machine learning methods that have been useful for Digital Reasoning. We will cover supervised and unsupervised methods, as well as anomaly detection for systems which can be modeled as a graph. We will also note things to look out for when using anomaly detection.

About the speaker:

Ken Graham, Senior Research Engineer at Digital Reasoning, has his Ph.D. in physics from Penn State. His recent work includes speech transcription and natural language processing.

Food and Beverages provided by:

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