K. Vengatesan

Adaptive Self-Evolving Machine Learning Models Using Meta-Optimization for Dynamic Data Environments

Smart cities, healthcare monitoring systems, financial markets, and IoT platforms are examples of dynamic data environments where data distributions vary over time. When ideas change, traditional machine learning models that were trained with static assumptions don't always do well. To evolve models autonomously in dyn...