669: Streaming, reactive, real-time machine learning
Super Data Science: ML & AI Podcast with Jon Krohn
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Differences Between Batch and Streaming Data Processing
The chapter discusses the variations between batch and streaming data processing approaches, highlighting the benefits and challenges of real-time stream processing in scientific experiments. It explores the complexities faced by machine learning engineers when transitioning from batch to real-time data, emphasizing the significant effort required for system deployment and maintenance.
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