This Talk Python episode features Brett Kennedy, author of Outlier Detection with Python, exploring how to identify significant anomalies in data using various Python tools and techniques. The discussion covers real-world applications from finance to astronomy, key libraries like PyOD and scikit-learn, handling large datasets, and the importance of interpretability when dealing with outliers.
https://talkpython.fm/episodes/show/497/outlier-detection-with-python