Training & Production Performance Mismatch in ML
#machinelearning #artificialintelligence #datascience
Training and production performance skewness in machine learning refers to the phenomenon where the performance of a machine learning model during the training phase significantly differs from its performance in a production environment. This skewness can arise due to various factors and may lead to unexpected behavior or suboptimal results when a model is deployed for real-world use.
Mismatch in Training and Production Performance in Machine Learning
Видео Training & Production Performance Mismatch in ML канала TechViz - The Data Science Guy
Training and production performance skewness in machine learning refers to the phenomenon where the performance of a machine learning model during the training phase significantly differs from its performance in a production environment. This skewness can arise due to various factors and may lead to unexpected behavior or suboptimal results when a model is deployed for real-world use.
Mismatch in Training and Production Performance in Machine Learning
Видео Training & Production Performance Mismatch in ML канала TechViz - The Data Science Guy
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23 февраля 2024 г. 11:48:35
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