669: Streaming, reactive, real-time machine learning
Super Data Science: ML & AI Podcast with Jon Krohn
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Exploring Batch vs. Stream Processing in Reactive Data Processing
This chapter delves into the distinction between batch and stream processing in reactive data processing, emphasizing the significance of time as a feature in machine learning. It illustrates that when time is a crucial factor in the data, it needs to be addressed regardless of whether processing occurs in batch or streaming methods.
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