Batch vs. Streaming
The discussion highlights the distinction between batch processing and reactive systems in classification tasks. In a reactive setting, systems like spam filters can adapt to new information over time, ensuring that classifications improve as more data becomes available. This flexibility allows for continuous updates without the need for constant re-deployment, streamlining the classification process.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
669: Streaming, reactive, real-time machine learning — with Adrian Kosowski
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