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klotz: anomaly detection* + data science*

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1. Explaining Anomalies with Isolation Forest and SHAP

   This article explores the use of Isolation Forest for anomaly detection and how SHAP (KernelSHAP and TreeSHAP) can be applied to explain the anomalies detected, providing insights into which features contribute to anomaly scores.

   2024-09-30 Tags: isolation forest, shap, anomaly detection, explainability, data science by klotz
2. Multivariate Outlier Detection in Python | by Sergen Cansiz | Mar, 2021 | Towards Data Science

   2021-03-22 Tags: outlier detection, data science, anomaly detection, python, multivariate analysis by klotz
3. Deep Learning for Anomaly Detection: A Comprehensive Survey | by Guansong Pang | Jul, 2020 | Towards Data Science

   2020-07-10 Tags: deep learning, anomaly detection, data science, production engineering by klotz
4. Anomaly Detection in Python with Gaussian Mixture Models.

   2020-01-07 Tags: anomaly detection, gaussian, data science by klotz

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