Designing Scalable ML Pipelines for Big Data Analytics

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This research presentation explores machine learning pipelines in the era of big data, emphasizing the need for scalable solutions. Initially, it addresses the challenges in implementing effective predictive analytics through pipelines, highlighting the architectures and big data frameworks that support scalability. The study investigates hypotheses such as the improved efficiency of scalable pipelines, the performance gains from distributed preprocessing, and the superiority of ensemble...