Category: Education

Building scalable machine learning pipelines involves designing workflows that can handle large volumes of data efficiently. It requires selecting appropriate technologies and frameworks for data ingestion, processing, model training, and deployment. Scalability ensures that the pipeline can handle increasing data loads and computational demands without compromising performance or reliability.