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Detecting Drift

Podcast |: Data Skeptic
Publisher |: Kyle Polich
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Data Science,; Interview,; Natural Sciences,; Science & Medicine,; Technology
Categories Via RSS |: Mathematics,; Science,; Technology
Publication Date |: Jun 11, 2021
Episode Duration |: 00:27:19

Sam Ackerman, Research Data Scientist at IBM Research Labs in Haifa, Israel, joins us today to talk about his work Detection of Data Drift and Outliers Affecting Machine Learning Model Performance Over Time.

Check out Sam's IBM statistics/ML blog at: QA.shtml"> http://www.research.ibm.com/haifa/dept/vst/ML-QA.shtml

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