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Production Machine Learning Monitoring: Principles, Patterns and Techniques (Alejandro Saucedo)

Production Machine Learning Monitoring: Principles, Patterns and Examples (Alejandro Saucedo). Covering Explainability, Outlier Detection, Concept Drift, Adversarial Detection and Performance Monitoring of production machine learning systems.
Sections:
Intro: (0:00)
Motivations (2:17)
Usecase Overview - Iris Classifier (3:37)
Deploying ML Model (4:56)
Monitoring Overview (6:31)
Performance Monitoring (8:25)
Statistical Monitoring (11:10)
Explainability Monitoring (17:50)
Outlier / Drift Monitoring (23:09)
Ensemble Monitoring Patterns & Outro (26:25)

Видео Production Machine Learning Monitoring: Principles, Patterns and Techniques (Alejandro Saucedo) канала Alejandro Saucedo
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Информация о видео
17 ноября 2020 г. 2:32:04
00:28:12
Alejandro Saucedo
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