Concept Drift Solutions
Concept drift poses challenges as user preferences evolve, necessitating strategies for model adaptation. Options include maintaining a static model or periodically retraining it to capture new behaviors. Utilizing pretrained models can enhance the retraining process, allowing for a more effective update by leveraging existing knowledge.In this clip
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MLOps Coffee Sessions #10 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning" // Part 2
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