DBTB INT Subutai Ahmed r
summary
Argues that IoT streaming makes conventional approaches fail: traditional ML doesn't scale for continuously arriving sensor data, so detection and pattern methods must change; the central claim is to redesign systems from the ground up rather than bolt on batch models. Recommends practical paths: use online courses, enter real-data competitions and prototypes to learn — get started and participate in competitions to gain experience with streaming pipelines and algorithms.
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