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Domain Adaptation: Build more robust machine learning models

Domain Adaptation: Build more robust machine learning models

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Virtusa helped build more robust machine learning models by leveraging Domain Adaptation and Domain Adversarial Neural Networks. Their expertise enabled models to perform reliably despite data drift and varying distributions between source and target domains. By applying advanced domain adaptation techniques, Virtusa ensured machine learning solutions remained effective in dynamic production environments, improving accuracy and resilience. This approach empowered organizations to deploy adaptable AI systems that maintain performance across diverse data scenarios, driving better business outcomes and operational stability.

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